Overview

Dataset statistics

Number of variables256
Number of observations1000
Missing cells903
Missing cells (%)0.4%
Total size in memory17.3 MiB
Average record size in memory17.8 KiB

Variable types

Numeric1
Text255

Alerts

year_ending has constant value ""Constant
national_median_energy_star has constant value ""Constant
energy_star_certification_4 has constant value ""Constant
percent_better_than_national_2 has constant value ""Constant
adult_education_gross_floor has constant value ""Constant
ambulatory_surgical_center has constant value ""Constant
aquarium_gross_floor_area has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
bar_nightclub_gross_floor has constant value ""Constant
bowling_alley_gross_floor has constant value ""Constant
casino_gross_floor_area_ft has constant value ""Constant
convenience_store_with_gas has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pdu_output_site has constant value ""Constant
data_center_it_equipment has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median has constant value ""Constant
enclosed_mall_gross_floor has constant value ""Constant
energy_power_station_gross has constant value ""Constant
ice_curling_rink_gross_floor has constant value ""Constant
indoor_arena_gross_floor has constant value ""Constant
laboratory_gross_floor_area has constant value ""Constant
laboratory_number_of_computers has constant value ""Constant
lifestyle_center_gross_floor has constant value ""Constant
mailing_center_post_office has constant value ""Constant
manufacturing_industrial has constant value ""Constant
movie_theater_gross_floor has constant value ""Constant
performing_arts_gross_floor has constant value ""Constant
pre_school_daycare_gross has constant value ""Constant
race_track_gross_floor_area has constant value ""Constant
repair_services_vehicle_shoe has constant value ""Constant
roller_rink_gross_floor_area has constant value ""Constant
stadium_closed_gross_floor has constant value ""Constant
stadium_open_gross_floor has constant value ""Constant
strip_mall_gross_floor_area has constant value ""Constant
transportation_terminal has constant value ""Constant
veterinary_office_gross_floor has constant value ""Constant
vocational_school_gross_floor has constant value ""Constant
zoo_gross_floor_area_ft has constant value ""Constant
water_wastewater_investment has constant value ""Constant
water_wastewater_estimated has constant value ""Constant
costar_property_id has constant value ""Constant
leed_us_project_id has constant value ""Constant
national_median_reference has 493 (49.3%) missing valuesMissing
borough has 58 (5.8%) missing valuesMissing
latitude has 58 (5.8%) missing valuesMissing
longitude has 58 (5.8%) missing valuesMissing
community_board has 58 (5.8%) missing valuesMissing
council_district has 58 (5.8%) missing valuesMissing
census_tract has 58 (5.8%) missing valuesMissing
nta has 58 (5.8%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:33:05.965184
Analysis finished2023-12-09 20:33:14.991612
Duration9.03 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:33:15.120227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:33:15.277171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct997
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:33:15.735407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.978
Min length4

Characters and Unicode

Total characters6978
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)99.4%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1357969 2
 
0.2%
1719778 2
 
0.2%
2612621 2
 
0.2%
2364098 1
 
0.1%
8841 1
 
0.1%
2553898 1
 
0.1%
1261446 1
 
0.1%
2383984 1
 
0.1%
2609639 1
 
0.1%
2043394 1
 
0.1%
Other values (987) 987
98.7%
2023-12-09T20:33:16.353308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1282
18.4%
6 942
13.5%
3 730
10.5%
5 720
10.3%
1 637
9.1%
8 603
8.6%
0 547
7.8%
9 529
7.6%
4 523
7.5%
7 465
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6978
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1282
18.4%
6 942
13.5%
3 730
10.5%
5 720
10.3%
1 637
9.1%
8 603
8.6%
0 547
7.8%
9 529
7.6%
4 523
7.5%
7 465
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1282
18.4%
6 942
13.5%
3 730
10.5%
5 720
10.3%
1 637
9.1%
8 603
8.6%
0 547
7.8%
9 529
7.6%
4 523
7.5%
7 465
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1282
18.4%
6 942
13.5%
3 730
10.5%
5 720
10.3%
1 637
9.1%
8 603
8.6%
0 547
7.8%
9 529
7.6%
4 523
7.5%
7 465
 
6.7%
Distinct997
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
2023-12-09T20:33:16.818032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length62
Median length48
Mean length20.157
Min length3

Characters and Unicode

Total characters20157
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)99.4%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
street 186
 
5.1%
avenue 127
 
3.4%
114
 
3.1%
west 95
 
2.6%
ave 86
 
2.3%
east 81
 
2.2%
st 63
 
1.7%
park 61
 
1.7%
llc 59
 
1.6%
fifth 34
 
0.9%
Other values (1278) 2777
75.4%
2023-12-09T20:33:17.456827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2691
 
13.4%
e 1544
 
7.7%
t 1167
 
5.8%
r 857
 
4.3%
a 834
 
4.1%
n 765
 
3.8%
o 639
 
3.2%
i 560
 
2.8%
s 543
 
2.7%
1 526
 
2.6%
Other values (64) 10031
49.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9732
48.3%
Uppercase Letter 4273
21.2%
Decimal Number 2946
 
14.6%
Space Separator 2691
 
13.4%
Other Punctuation 235
 
1.2%
Dash Punctuation 205
 
1.0%
Close Punctuation 37
 
0.2%
Open Punctuation 37
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1544
15.9%
t 1167
12.0%
r 857
8.8%
a 834
 
8.6%
n 765
 
7.9%
o 639
 
6.6%
i 560
 
5.8%
s 543
 
5.6%
l 378
 
3.9%
u 340
 
3.5%
Other values (16) 2105
21.6%
Uppercase Letter
ValueCountFrequency (%)
S 509
11.9%
A 418
 
9.8%
C 373
 
8.7%
E 357
 
8.4%
L 279
 
6.5%
T 255
 
6.0%
R 247
 
5.8%
W 236
 
5.5%
P 218
 
5.1%
M 188
 
4.4%
Other values (16) 1193
27.9%
Decimal Number
ValueCountFrequency (%)
1 526
17.9%
0 428
14.5%
5 385
13.1%
2 364
12.4%
3 280
9.5%
4 239
8.1%
7 204
 
6.9%
6 187
 
6.3%
8 167
 
5.7%
9 166
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 139
59.1%
, 44
 
18.7%
& 22
 
9.4%
: 19
 
8.1%
' 7
 
3.0%
/ 3
 
1.3%
# 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14005
69.5%
Common 6152
30.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1544
 
11.0%
t 1167
 
8.3%
r 857
 
6.1%
a 834
 
6.0%
n 765
 
5.5%
o 639
 
4.6%
i 560
 
4.0%
s 543
 
3.9%
S 509
 
3.6%
A 418
 
3.0%
Other values (42) 6169
44.0%
Common
ValueCountFrequency (%)
2691
43.7%
1 526
 
8.6%
0 428
 
7.0%
5 385
 
6.3%
2 364
 
5.9%
3 280
 
4.6%
4 239
 
3.9%
- 205
 
3.3%
7 204
 
3.3%
6 187
 
3.0%
Other values (12) 643
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2691
 
13.4%
e 1544
 
7.7%
t 1167
 
5.8%
r 857
 
4.3%
a 834
 
4.1%
n 765
 
3.8%
o 639
 
3.2%
i 560
 
2.8%
s 543
 
2.7%
1 526
 
2.6%
Other values (64) 10031
49.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size89.2 KiB
2023-12-09T20:33:17.693700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.216
Min length7

Characters and Unicode

Total characters34216
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 972
24.8%
applicable 972
24.8%
standalone 972
24.8%
property 972
24.8%
3615566 5
 
0.1%
3615313 5
 
0.1%
3614737 4
 
0.1%
3617065 3
 
0.1%
3618422 3
 
0.1%
3616379 2
 
0.1%
Other values (5) 6
 
0.2%
2023-12-09T20:33:18.015946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2916
 
8.5%
2916
 
8.5%
p 2916
 
8.5%
l 2916
 
8.5%
a 2916
 
8.5%
e 2916
 
8.5%
o 2916
 
8.5%
n 1944
 
5.7%
r 1944
 
5.7%
S 972
 
2.8%
Other values (19) 8944
26.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26244
76.7%
Uppercase Letter 3888
 
11.4%
Space Separator 2916
 
8.5%
Other Punctuation 972
 
2.8%
Decimal Number 196
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2916
11.1%
p 2916
11.1%
l 2916
11.1%
a 2916
11.1%
e 2916
11.1%
o 2916
11.1%
n 1944
7.4%
r 1944
7.4%
y 972
 
3.7%
d 972
 
3.7%
Other values (3) 2916
11.1%
Decimal Number
ValueCountFrequency (%)
6 46
23.5%
3 44
22.4%
1 38
19.4%
5 21
10.7%
7 16
 
8.2%
4 12
 
6.1%
2 8
 
4.1%
8 5
 
2.6%
0 3
 
1.5%
9 3
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
S 972
25.0%
P 972
25.0%
N 972
25.0%
A 972
25.0%
Space Separator
ValueCountFrequency (%)
2916
100.0%
Other Punctuation
ValueCountFrequency (%)
: 972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30132
88.1%
Common 4084
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2916
9.7%
p 2916
9.7%
l 2916
9.7%
a 2916
9.7%
e 2916
9.7%
o 2916
9.7%
n 1944
 
6.5%
r 1944
 
6.5%
S 972
 
3.2%
y 972
 
3.2%
Other values (7) 6804
22.6%
Common
ValueCountFrequency (%)
2916
71.4%
: 972
 
23.8%
6 46
 
1.1%
3 44
 
1.1%
1 38
 
0.9%
5 21
 
0.5%
7 16
 
0.4%
4 12
 
0.3%
2 8
 
0.2%
8 5
 
0.1%
Other values (2) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2916
 
8.5%
2916
 
8.5%
p 2916
 
8.5%
l 2916
 
8.5%
a 2916
 
8.5%
e 2916
 
8.5%
o 2916
 
8.5%
n 1944
 
5.7%
r 1944
 
5.7%
S 972
 
2.8%
Other values (19) 8944
26.1%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size89.7 KiB
2023-12-09T20:33:18.264707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length35
Mean length34.706
Min length10

Characters and Unicode

Total characters34706
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 972
24.3%
standalone 972
24.3%
property 972
24.3%
applicable 972
24.3%
campus 9
 
0.2%
center 9
 
0.2%
university 6
 
0.2%
cancer 5
 
0.1%
1 5
 
0.1%
kettering 5
 
0.1%
Other values (27) 71
 
1.8%
2023-12-09T20:33:18.648684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2998
 
8.6%
e 2987
 
8.6%
t 2965
 
8.5%
a 2953
 
8.5%
o 2946
 
8.5%
l 2937
 
8.5%
p 2925
 
8.4%
r 1994
 
5.7%
n 1980
 
5.7%
i 1002
 
2.9%
Other values (36) 9019
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26701
76.9%
Uppercase Letter 4015
 
11.6%
Space Separator 2998
 
8.6%
Other Punctuation 972
 
2.8%
Decimal Number 20
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2987
11.2%
t 2965
11.1%
a 2953
11.1%
o 2946
11.0%
l 2937
11.0%
p 2925
11.0%
r 1994
7.5%
n 1980
7.4%
i 1002
 
3.8%
c 984
 
3.7%
Other values (11) 3028
11.3%
Uppercase Letter
ValueCountFrequency (%)
S 991
24.7%
N 981
24.4%
A 976
24.3%
P 975
24.3%
C 37
 
0.9%
M 9
 
0.2%
U 7
 
0.2%
T 6
 
0.1%
K 5
 
0.1%
W 5
 
0.1%
Other values (9) 23
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
3 5
25.0%
9 5
25.0%
6 5
25.0%
Space Separator
ValueCountFrequency (%)
2998
100.0%
Other Punctuation
ValueCountFrequency (%)
: 972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30716
88.5%
Common 3990
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2987
9.7%
t 2965
9.7%
a 2953
9.6%
o 2946
9.6%
l 2937
9.6%
p 2925
9.5%
r 1994
 
6.5%
n 1980
 
6.4%
i 1002
 
3.3%
S 991
 
3.2%
Other values (30) 7036
22.9%
Common
ValueCountFrequency (%)
2998
75.1%
: 972
 
24.4%
1 5
 
0.1%
3 5
 
0.1%
9 5
 
0.1%
6 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2998
 
8.6%
e 2987
 
8.6%
t 2965
 
8.5%
a 2953
 
8.5%
o 2946
 
8.5%
l 2937
 
8.5%
p 2925
 
8.4%
r 1994
 
5.7%
n 1980
 
5.7%
i 1002
 
2.9%
Other values (36) 9019
26.0%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:33:18.833798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters8
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013-12-31T00:00:00.000
2nd row2013-12-31T00:00:00.000
3rd row2013-12-31T00:00:00.000
4th row2013-12-31T00:00:00.000
5th row2013-12-31T00:00:00.000
ValueCountFrequency (%)
2013-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:33:19.139334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
3 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
3 2000
 
11.8%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
3 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
3 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct911
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:33:19.476264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length599
Median length7
Mean length10.903
Min length7

Characters and Unicode

Total characters10903
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique896 ?
Unique (%)89.6%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
not 76
 
7.0%
available 76
 
7.0%
2092065 2
 
0.2%
5105548 2
 
0.2%
3197677 2
 
0.2%
5117073 2
 
0.2%
4173982 2
 
0.2%
1041086 2
 
0.2%
5117078 2
 
0.2%
1083861 2
 
0.2%
Other values (910) 916
84.5%
2023-12-09T20:33:19.973270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1702
15.6%
0 1581
14.5%
1 1546
14.2%
2 762
7.0%
3 760
7.0%
6 680
 
6.2%
5 674
 
6.2%
8 623
 
5.7%
9 583
 
5.3%
7 565
 
5.2%
Other values (13) 1427
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9476
86.9%
Lowercase Letter 760
 
7.0%
Other Punctuation 431
 
4.0%
Uppercase Letter 152
 
1.4%
Space Separator 84
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1702
18.0%
0 1581
16.7%
1 1546
16.3%
2 762
8.0%
3 760
8.0%
6 680
 
7.2%
5 674
 
7.1%
8 623
 
6.6%
9 583
 
6.2%
7 565
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 152
20.0%
l 152
20.0%
o 76
10.0%
e 76
10.0%
b 76
10.0%
i 76
10.0%
v 76
10.0%
t 76
10.0%
Other Punctuation
ValueCountFrequency (%)
; 428
99.3%
, 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 76
50.0%
A 76
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9991
91.6%
Latin 912
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1702
17.0%
0 1581
15.8%
1 1546
15.5%
2 762
7.6%
3 760
7.6%
6 680
 
6.8%
5 674
 
6.7%
8 623
 
6.2%
9 583
 
5.8%
7 565
 
5.7%
Other values (3) 515
 
5.2%
Latin
ValueCountFrequency (%)
a 152
16.7%
l 152
16.7%
N 76
8.3%
o 76
8.3%
e 76
8.3%
b 76
8.3%
i 76
8.3%
v 76
8.3%
A 76
8.3%
t 76
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1702
15.6%
0 1581
14.5%
1 1546
14.2%
2 762
7.0%
3 760
7.0%
6 680
 
6.2%
5 674
 
6.2%
8 623
 
5.7%
9 583
 
5.3%
7 565
 
5.2%
Other values (13) 1427
13.1%
Distinct938
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T20:33:20.299670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length26
Median length10
Mean length10.694
Min length6

Characters and Unicode

Total characters10694
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique916 ?
Unique (%)91.6%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
not 24
 
2.3%
available 24
 
2.3%
5005950015 9
 
0.9%
1-01266-0001 4
 
0.4%
1-01264-0005 4
 
0.4%
5005930590 4
 
0.4%
2032730001 4
 
0.4%
5039830001 3
 
0.3%
3064680016 3
 
0.3%
5039830045 3
 
0.3%
Other values (929) 942
92.0%
2023-12-09T20:33:20.761750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3732
34.9%
1 1880
17.6%
2 736
 
6.9%
3 652
 
6.1%
5 609
 
5.7%
- 600
 
5.6%
7 537
 
5.0%
4 509
 
4.8%
8 396
 
3.7%
9 375
 
3.5%
Other values (13) 668
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9780
91.5%
Dash Punctuation 600
 
5.6%
Lowercase Letter 240
 
2.2%
Uppercase Letter 48
 
0.4%
Space Separator 24
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3732
38.2%
1 1880
19.2%
2 736
 
7.5%
3 652
 
6.7%
5 609
 
6.2%
7 537
 
5.5%
4 509
 
5.2%
8 396
 
4.0%
9 375
 
3.8%
6 354
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 48
20.0%
l 48
20.0%
o 24
10.0%
e 24
10.0%
b 24
10.0%
i 24
10.0%
v 24
10.0%
t 24
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 24
50.0%
A 24
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 600
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
; 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10406
97.3%
Latin 288
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3732
35.9%
1 1880
18.1%
2 736
 
7.1%
3 652
 
6.3%
5 609
 
5.9%
- 600
 
5.8%
7 537
 
5.2%
4 509
 
4.9%
8 396
 
3.8%
9 375
 
3.6%
Other values (3) 380
 
3.7%
Latin
ValueCountFrequency (%)
a 48
16.7%
l 48
16.7%
N 24
8.3%
o 24
8.3%
e 24
8.3%
b 24
8.3%
i 24
8.3%
v 24
8.3%
A 24
8.3%
t 24
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3732
34.9%
1 1880
17.6%
2 736
 
6.9%
3 652
 
6.1%
5 609
 
5.7%
- 600
 
5.6%
7 537
 
5.0%
4 509
 
4.8%
8 396
 
3.7%
9 375
 
3.5%
Other values (13) 668
 
6.2%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size77.9 KiB
2023-12-09T20:33:20.961845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length36
Median length26
Mean length22.599
Min length3

Characters and Unicode

Total characters22599
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowUnique Building Identifier
2nd rowUnique Building Identifier
3rd rowUnique Building Identifier
4th rowUnique Building Identifier
5th rowUnique Building Identifier
ValueCountFrequency (%)
building 749
27.3%
unique 742
27.0%
identifier 742
27.0%
not 237
 
8.6%
available 237
 
8.6%
bin 13
 
0.5%
block 6
 
0.2%
and 6
 
0.2%
lot 6
 
0.2%
dsf 2
 
0.1%
Other values (4) 6
 
0.2%
2023-12-09T20:33:21.311092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 3965
17.5%
e 2465
10.9%
n 2242
9.9%
1746
 
7.7%
d 1500
 
6.6%
u 1492
 
6.6%
l 1231
 
5.4%
t 987
 
4.4%
B 770
 
3.4%
I 757
 
3.3%
Other values (20) 5444
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18081
80.0%
Uppercase Letter 2770
 
12.3%
Space Separator 1746
 
7.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 3965
21.9%
e 2465
13.6%
n 2242
12.4%
d 1500
 
8.3%
u 1492
 
8.3%
l 1231
 
6.8%
t 987
 
5.5%
g 751
 
4.2%
f 743
 
4.1%
r 743
 
4.1%
Other values (8) 1962
10.9%
Uppercase Letter
ValueCountFrequency (%)
B 770
27.8%
I 757
27.3%
U 742
26.8%
N 250
 
9.0%
A 237
 
8.6%
L 6
 
0.2%
D 4
 
0.1%
S 2
 
0.1%
F 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1746
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20851
92.3%
Common 1748
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 3965
19.0%
e 2465
11.8%
n 2242
10.8%
d 1500
 
7.2%
u 1492
 
7.2%
l 1231
 
5.9%
t 987
 
4.7%
B 770
 
3.7%
I 757
 
3.6%
g 751
 
3.6%
Other values (17) 4691
22.5%
Common
ValueCountFrequency (%)
1746
99.9%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 3965
17.5%
e 2465
10.9%
n 2242
9.9%
1746
 
7.7%
d 1500
 
6.6%
u 1492
 
6.6%
l 1231
 
5.4%
t 987
 
4.4%
B 770
 
3.4%
I 757
 
3.3%
Other values (20) 5444
24.1%
Distinct750
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T20:33:21.635358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length271
Median length7
Mean length9.787
Min length3

Characters and Unicode

Total characters9787
Distinct characters49
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique735 ?
Unique (%)73.5%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
not 237
 
18.7%
available 237
 
18.7%
bin 5
 
0.4%
building 4
 
0.3%
number 3
 
0.2%
identification 3
 
0.2%
5117073 2
 
0.2%
1032045 2
 
0.2%
1083861 2
 
0.2%
1077284 2
 
0.2%
Other values (758) 768
60.7%
2023-12-09T20:33:22.972776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1273
 
13.0%
1 1192
 
12.2%
3 618
 
6.3%
4 552
 
5.6%
2 536
 
5.5%
5 525
 
5.4%
l 479
 
4.9%
a 477
 
4.9%
6 448
 
4.6%
8 445
 
4.5%
Other values (39) 3242
33.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6338
64.8%
Lowercase Letter 2480
 
25.3%
Uppercase Letter 517
 
5.3%
Space Separator 264
 
2.7%
Other Punctuation 148
 
1.5%
Dash Punctuation 30
 
0.3%
Control 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 479
19.3%
a 477
19.2%
i 259
10.4%
e 247
10.0%
t 246
9.9%
o 243
9.8%
b 240
9.7%
v 237
9.6%
n 13
 
0.5%
u 8
 
0.3%
Other values (9) 31
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
N 246
47.6%
A 237
45.8%
B 11
 
2.1%
I 10
 
1.9%
P 4
 
0.8%
T 4
 
0.8%
L 1
 
0.2%
U 1
 
0.2%
Q 1
 
0.2%
S 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 1273
20.1%
1 1192
18.8%
3 618
9.8%
4 552
8.7%
2 536
8.5%
5 525
8.3%
6 448
 
7.1%
8 445
 
7.0%
7 416
 
6.6%
9 333
 
5.3%
Other Punctuation
ValueCountFrequency (%)
; 133
89.9%
, 6
 
4.1%
# 6
 
4.1%
: 3
 
2.0%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6790
69.4%
Latin 2997
30.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 479
16.0%
a 477
15.9%
i 259
8.6%
e 247
8.2%
N 246
8.2%
t 246
8.2%
o 243
8.1%
b 240
8.0%
v 237
7.9%
A 237
7.9%
Other values (20) 86
 
2.9%
Common
ValueCountFrequency (%)
0 1273
18.7%
1 1192
17.6%
3 618
9.1%
4 552
8.1%
2 536
7.9%
5 525
7.7%
6 448
 
6.6%
8 445
 
6.6%
7 416
 
6.1%
9 333
 
4.9%
Other values (9) 452
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1273
 
13.0%
1 1192
 
12.2%
3 618
 
6.3%
4 552
 
5.6%
2 536
 
5.5%
5 525
 
5.4%
l 479
 
4.9%
a 477
 
4.9%
6 448
 
4.6%
8 445
 
4.5%
Other values (39) 3242
33.1%
Distinct969
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size73.1 KiB
2023-12-09T20:33:23.491053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length28
Mean length17.712
Min length5

Characters and Unicode

Total characters17712
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique962 ?
Unique (%)96.2%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
street 345
 
10.0%
avenue 218
 
6.3%
west 145
 
4.2%
ave 125
 
3.6%
east 107
 
3.1%
st 78
 
2.3%
park 62
 
1.8%
w 47
 
1.4%
broadway 45
 
1.3%
e 36
 
1.0%
Other values (980) 2236
64.9%
2023-12-09T20:33:24.153744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2461
 
13.9%
e 1639
 
9.3%
t 1406
 
7.9%
r 757
 
4.3%
1 700
 
4.0%
a 602
 
3.4%
0 537
 
3.0%
5 520
 
2.9%
S 519
 
2.9%
2 507
 
2.9%
Other values (61) 8064
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8134
45.9%
Decimal Number 3951
22.3%
Uppercase Letter 2974
 
16.8%
Space Separator 2461
 
13.9%
Dash Punctuation 122
 
0.7%
Other Punctuation 68
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 519
17.5%
A 430
14.5%
E 350
11.8%
W 270
9.1%
T 189
 
6.4%
R 180
 
6.1%
P 157
 
5.3%
B 101
 
3.4%
M 96
 
3.2%
N 81
 
2.7%
Other values (16) 601
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 1639
20.1%
t 1406
17.3%
r 757
9.3%
a 602
 
7.4%
n 485
 
6.0%
s 447
 
5.5%
h 378
 
4.6%
v 373
 
4.6%
i 316
 
3.9%
d 311
 
3.8%
Other values (15) 1420
17.5%
Decimal Number
ValueCountFrequency (%)
1 700
17.7%
0 537
13.6%
5 520
13.2%
2 507
12.8%
3 391
9.9%
4 322
8.1%
6 268
 
6.8%
7 249
 
6.3%
9 240
 
6.1%
8 217
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 58
85.3%
, 4
 
5.9%
/ 3
 
4.4%
& 1
 
1.5%
; 1
 
1.5%
# 1
 
1.5%
Space Separator
ValueCountFrequency (%)
2461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11108
62.7%
Common 6604
37.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1639
14.8%
t 1406
 
12.7%
r 757
 
6.8%
a 602
 
5.4%
S 519
 
4.7%
n 485
 
4.4%
s 447
 
4.0%
A 430
 
3.9%
h 378
 
3.4%
v 373
 
3.4%
Other values (41) 4072
36.7%
Common
ValueCountFrequency (%)
2461
37.3%
1 700
 
10.6%
0 537
 
8.1%
5 520
 
7.9%
2 507
 
7.7%
3 391
 
5.9%
4 322
 
4.9%
6 268
 
4.1%
7 249
 
3.8%
9 240
 
3.6%
Other values (10) 409
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2461
 
13.9%
e 1639
 
9.3%
t 1406
 
7.9%
r 757
 
4.3%
1 700
 
4.0%
a 602
 
3.4%
0 537
 
3.0%
5 520
 
2.9%
S 519
 
2.9%
2 507
 
2.9%
Other values (61) 8064
45.5%
Distinct21
Distinct (%)2.1%
Missing4
Missing (%)0.4%
Memory size68.4 KiB
2023-12-09T20:33:24.455015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length38
Median length13
Mean length13.09437751
Min length5

Characters and Unicode

Total characters13042
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
48.4%
available 975
48.4%
east 4
 
0.2%
street 4
 
0.2%
long 2
 
0.1%
city 2
 
0.1%
ave 2
 
0.1%
island 2
 
0.1%
12th 2
 
0.1%
highway 1
 
< 0.1%
Other values (46) 46
 
2.3%
2023-12-09T20:33:24.898877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.1%
l 1959
15.0%
1019
7.8%
e 1006
7.7%
t 1004
7.7%
i 986
7.6%
o 986
7.6%
v 978
7.5%
b 978
7.5%
N 977
7.5%
Other values (40) 1175
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9965
76.4%
Uppercase Letter 1996
 
15.3%
Space Separator 1019
 
7.8%
Decimal Number 58
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
19.8%
l 1959
19.7%
e 1006
10.1%
t 1004
10.1%
i 986
9.9%
o 986
9.9%
v 978
9.8%
b 978
9.8%
n 20
 
0.2%
r 18
 
0.2%
Other values (12) 56
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
N 977
48.9%
A 976
48.9%
C 8
 
0.4%
S 8
 
0.4%
E 5
 
0.3%
P 4
 
0.2%
R 3
 
0.2%
H 3
 
0.2%
T 2
 
0.1%
I 2
 
0.1%
Other values (7) 8
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 14
24.1%
2 10
17.2%
3 8
13.8%
0 7
12.1%
7 6
10.3%
5 4
 
6.9%
4 4
 
6.9%
9 3
 
5.2%
6 2
 
3.4%
Space Separator
ValueCountFrequency (%)
1019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11961
91.7%
Common 1081
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.5%
l 1959
16.4%
e 1006
8.4%
t 1004
8.4%
i 986
8.2%
o 986
8.2%
v 978
8.2%
b 978
8.2%
N 977
8.2%
A 976
8.2%
Other values (29) 137
 
1.1%
Common
ValueCountFrequency (%)
1019
94.3%
1 14
 
1.3%
2 10
 
0.9%
3 8
 
0.7%
0 7
 
0.6%
7 6
 
0.6%
5 4
 
0.4%
- 4
 
0.4%
4 4
 
0.4%
9 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.1%
l 1959
15.0%
1019
7.8%
e 1006
7.7%
t 1004
7.7%
i 986
7.6%
o 986
7.6%
v 978
7.5%
b 978
7.5%
N 977
7.5%
Other values (40) 1175
9.0%

city
Text

Distinct49
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T20:33:25.165801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.072
Min length2

Characters and Unicode

Total characters8072
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
new 700
39.1%
york 698
39.0%
brooklyn 88
 
4.9%
bronx 84
 
4.7%
island 37
 
2.1%
staten 28
 
1.6%
city 17
 
0.9%
queens 13
 
0.7%
elmhurst 13
 
0.7%
east 11
 
0.6%
Other values (36) 103
 
5.7%
2023-12-09T20:33:25.578152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 937
11.6%
r 856
10.6%
793
9.8%
k 757
9.4%
e 727
9.0%
N 721
8.9%
Y 709
8.8%
w 663
8.2%
n 284
 
3.5%
B 177
 
2.2%
Other values (40) 1448
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5141
63.7%
Uppercase Letter 2136
26.5%
Space Separator 793
 
9.8%
Dash Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 721
33.8%
Y 709
33.2%
B 177
 
8.3%
E 81
 
3.8%
R 66
 
3.1%
O 59
 
2.8%
K 51
 
2.4%
W 51
 
2.4%
I 42
 
2.0%
S 34
 
1.6%
Other values (15) 145
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
o 937
18.2%
r 856
16.7%
k 757
14.7%
e 727
14.1%
w 663
12.9%
n 284
 
5.5%
a 160
 
3.1%
l 156
 
3.0%
y 121
 
2.4%
t 119
 
2.3%
Other values (12) 361
 
7.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7277
90.2%
Common 795
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 937
12.9%
r 856
11.8%
k 757
10.4%
e 727
10.0%
N 721
9.9%
Y 709
9.7%
w 663
9.1%
n 284
 
3.9%
B 177
 
2.4%
a 160
 
2.2%
Other values (37) 1286
17.7%
Common
ValueCountFrequency (%)
793
99.7%
- 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 937
11.6%
r 856
10.6%
793
9.8%
k 757
9.4%
e 727
9.0%
N 721
8.9%
Y 709
8.8%
w 663
8.2%
n 284
 
3.5%
B 177
 
2.2%
Other values (40) 1448
17.9%

county
Text

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T20:33:25.802749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length24
Median length13
Mean length11.158
Min length2

Characters and Unicode

Total characters11158
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 712
39.4%
available 712
39.4%
new 86
 
4.8%
york 86
 
4.8%
bronx 43
 
2.4%
queens 41
 
2.3%
manhattan 39
 
2.2%
usa 35
 
1.9%
kings 27
 
1.5%
states 8
 
0.4%
Other values (9) 19
 
1.1%
2023-12-09T20:33:26.159961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1549
13.9%
l 1425
12.8%
e 893
8.0%
o 846
7.6%
t 812
7.3%
809
7.3%
N 804
7.2%
A 750
6.7%
i 750
6.7%
v 712
 
6.4%
Other values (33) 1808
16.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8448
75.7%
Uppercase Letter 1891
 
16.9%
Space Separator 809
 
7.3%
Other Punctuation 5
 
< 0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1549
18.3%
l 1425
16.9%
e 893
10.6%
o 846
10.0%
t 812
9.6%
i 750
8.9%
v 712
8.4%
b 712
8.4%
n 196
 
2.3%
r 131
 
1.6%
Other values (12) 422
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
N 804
42.5%
A 750
39.7%
Y 87
 
4.6%
B 46
 
2.4%
S 44
 
2.3%
U 44
 
2.3%
Q 41
 
2.2%
M 39
 
2.1%
K 26
 
1.4%
E 4
 
0.2%
Other values (4) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
2 1
20.0%
4 1
20.0%
7 1
20.0%
8 1
20.0%
Space Separator
ValueCountFrequency (%)
809
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10339
92.7%
Common 819
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1549
15.0%
l 1425
13.8%
e 893
8.6%
o 846
8.2%
t 812
7.9%
N 804
7.8%
A 750
7.3%
i 750
7.3%
v 712
6.9%
b 712
6.9%
Other values (26) 1086
10.5%
Common
ValueCountFrequency (%)
809
98.8%
. 5
 
0.6%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1549
13.9%
l 1425
12.8%
e 893
8.0%
o 846
7.6%
t 812
7.3%
809
7.3%
N 804
7.2%
A 750
6.7%
i 750
6.7%
v 712
 
6.4%
Other values (33) 1808
16.2%
Distinct149
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:33:26.469721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.024
Min length5

Characters and Unicode

Total characters5024
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)5.5%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 66
 
6.6%
10019 53
 
5.3%
10017 46
 
4.6%
10016 38
 
3.8%
10018 33
 
3.3%
10011 32
 
3.2%
10010 28
 
2.8%
10024 27
 
2.7%
10025 25
 
2.5%
10036 25
 
2.5%
Other values (139) 627
62.7%
2023-12-09T20:33:26.913907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1715
34.1%
0 1706
34.0%
2 450
 
9.0%
3 287
 
5.7%
4 199
 
4.0%
6 192
 
3.8%
5 162
 
3.2%
7 114
 
2.3%
8 107
 
2.1%
9 92
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5024
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1715
34.1%
0 1706
34.0%
2 450
 
9.0%
3 287
 
5.7%
4 199
 
4.0%
6 192
 
3.8%
5 162
 
3.2%
7 114
 
2.3%
8 107
 
2.1%
9 92
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 5024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1715
34.1%
0 1706
34.0%
2 450
 
9.0%
3 287
 
5.7%
4 199
 
4.0%
6 192
 
3.8%
5 162
 
3.2%
7 114
 
2.3%
8 107
 
2.1%
9 92
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1715
34.1%
0 1706
34.0%
2 450
 
9.0%
3 287
 
5.7%
4 199
 
4.0%
6 192
 
3.8%
5 162
 
3.2%
7 114
 
2.3%
8 107
 
2.1%
9 92
 
1.8%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size69.8 KiB
2023-12-09T20:33:27.168519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length35
Mean length14.391
Min length5

Characters and Unicode

Total characters14391
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
multifamily 490
28.9%
housing 490
28.9%
office 357
21.1%
26
 
1.5%
other 22
 
1.3%
medical 21
 
1.2%
retail 20
 
1.2%
store 20
 
1.2%
self-storage 15
 
0.9%
facility 15
 
0.9%
Other values (30) 217
12.8%
2023-12-09T20:33:27.560370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2058
14.3%
f 1227
 
8.5%
l 1188
 
8.3%
u 1031
 
7.2%
t 700
 
4.9%
693
 
4.8%
a 681
 
4.7%
e 681
 
4.7%
o 671
 
4.7%
n 610
 
4.2%
Other values (36) 4851
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11822
82.1%
Uppercase Letter 1722
 
12.0%
Space Separator 693
 
4.8%
Dash Punctuation 50
 
0.3%
Other Punctuation 46
 
0.3%
Decimal Number 30
 
0.2%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2058
17.4%
f 1227
10.4%
l 1188
10.0%
u 1031
8.7%
t 700
 
5.9%
a 681
 
5.8%
e 681
 
5.8%
o 671
 
5.7%
n 610
 
5.2%
s 553
 
4.7%
Other values (11) 2422
20.5%
Uppercase Letter
ValueCountFrequency (%)
H 529
30.7%
M 511
29.7%
O 381
22.1%
S 91
 
5.3%
R 43
 
2.5%
C 42
 
2.4%
F 21
 
1.2%
D 21
 
1.2%
K 15
 
0.9%
G 14
 
0.8%
Other values (7) 54
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 32
69.6%
& 14
30.4%
Decimal Number
ValueCountFrequency (%)
2 15
50.0%
1 15
50.0%
Space Separator
ValueCountFrequency (%)
693
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13544
94.1%
Common 847
 
5.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2058
15.2%
f 1227
 
9.1%
l 1188
 
8.8%
u 1031
 
7.6%
t 700
 
5.2%
a 681
 
5.0%
e 681
 
5.0%
o 671
 
5.0%
n 610
 
4.5%
s 553
 
4.1%
Other values (28) 4144
30.6%
Common
ValueCountFrequency (%)
693
81.8%
- 50
 
5.9%
/ 32
 
3.8%
2 15
 
1.8%
1 15
 
1.8%
& 14
 
1.7%
) 14
 
1.7%
( 14
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2058
14.3%
f 1227
 
8.5%
l 1188
 
8.3%
u 1031
 
7.2%
t 700
 
4.9%
693
 
4.8%
a 681
 
4.7%
e 681
 
4.7%
o 671
 
4.7%
n 610
 
4.2%
Other values (36) 4851
33.7%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size69.8 KiB
2023-12-09T20:33:27.805417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length26
Mean length14.31
Min length5

Characters and Unicode

Total characters14310
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
multifamily 489
29.0%
housing 489
29.0%
office 356
21.1%
25
 
1.5%
other 25
 
1.5%
medical 20
 
1.2%
retail 16
 
0.9%
store 16
 
0.9%
k-12 15
 
0.9%
school 15
 
0.9%
Other values (26) 219
13.0%
2023-12-09T20:33:28.193514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2049
14.3%
f 1224
 
8.6%
l 1185
 
8.3%
u 1026
 
7.2%
t 688
 
4.8%
685
 
4.8%
a 678
 
4.7%
e 673
 
4.7%
o 666
 
4.7%
n 607
 
4.2%
Other values (36) 4829
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11761
82.2%
Uppercase Letter 1713
 
12.0%
Space Separator 685
 
4.8%
Dash Punctuation 49
 
0.3%
Other Punctuation 44
 
0.3%
Decimal Number 30
 
0.2%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2049
17.4%
f 1224
10.4%
l 1185
10.1%
u 1026
8.7%
t 688
 
5.8%
a 678
 
5.8%
e 673
 
5.7%
o 666
 
5.7%
n 607
 
5.2%
s 551
 
4.7%
Other values (11) 2414
20.5%
Uppercase Letter
ValueCountFrequency (%)
H 527
30.8%
M 509
29.7%
O 381
22.2%
S 86
 
5.0%
C 40
 
2.3%
R 39
 
2.3%
F 21
 
1.2%
D 21
 
1.2%
K 15
 
0.9%
G 14
 
0.8%
Other values (7) 60
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 30
68.2%
& 14
31.8%
Decimal Number
ValueCountFrequency (%)
1 15
50.0%
2 15
50.0%
Space Separator
ValueCountFrequency (%)
685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13474
94.2%
Common 836
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2049
15.2%
f 1224
 
9.1%
l 1185
 
8.8%
u 1026
 
7.6%
t 688
 
5.1%
a 678
 
5.0%
e 673
 
5.0%
o 666
 
4.9%
n 607
 
4.5%
s 551
 
4.1%
Other values (28) 4127
30.6%
Common
ValueCountFrequency (%)
685
81.9%
- 49
 
5.9%
/ 30
 
3.6%
1 15
 
1.8%
2 15
 
1.8%
( 14
 
1.7%
& 14
 
1.7%
) 14
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2049
14.3%
f 1224
 
8.6%
l 1185
 
8.3%
u 1026
 
7.2%
t 688
 
4.8%
685
 
4.8%
a 678
 
4.7%
e 673
 
4.7%
o 666
 
4.7%
n 607
 
4.2%
Other values (36) 4829
33.7%
Distinct948
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:33:28.600741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.756
Min length3

Characters and Unicode

Total characters5756
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique912 ?
Unique (%)91.2%

Sample

1st row686902
2nd row384432
3rd row572369
4th row362578
5th row1601977
ValueCountFrequency (%)
22033 9
 
0.9%
not 4
 
0.4%
available 4
 
0.4%
130000 4
 
0.4%
39667 4
 
0.4%
85757 3
 
0.3%
117590 3
 
0.3%
122204 3
 
0.3%
89004 2
 
0.2%
127000 2
 
0.2%
Other values (939) 966
96.2%
2023-12-09T20:33:29.130948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 885
15.4%
1 749
13.0%
2 575
10.0%
5 562
9.8%
7 556
9.7%
6 524
9.1%
3 494
8.6%
8 467
8.1%
4 452
7.9%
9 440
7.6%
Other values (11) 52
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5704
99.1%
Lowercase Letter 40
 
0.7%
Uppercase Letter 8
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 885
15.5%
1 749
13.1%
2 575
10.1%
5 562
9.9%
7 556
9.7%
6 524
9.2%
3 494
8.7%
8 467
8.2%
4 452
7.9%
9 440
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 8
20.0%
l 8
20.0%
t 4
10.0%
v 4
10.0%
i 4
10.0%
b 4
10.0%
e 4
10.0%
o 4
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
A 4
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5708
99.2%
Latin 48
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 885
15.5%
1 749
13.1%
2 575
10.1%
5 562
9.8%
7 556
9.7%
6 524
9.2%
3 494
8.7%
8 467
8.2%
4 452
7.9%
9 440
7.7%
Latin
ValueCountFrequency (%)
a 8
16.7%
l 8
16.7%
t 4
8.3%
v 4
8.3%
i 4
8.3%
b 4
8.3%
e 4
8.3%
o 4
8.3%
N 4
8.3%
A 4
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 885
15.4%
1 749
13.0%
2 575
10.0%
5 562
9.8%
7 556
9.7%
6 524
9.1%
3 494
8.6%
8 467
8.1%
4 452
7.9%
9 440
7.6%
Other values (11) 52
 
0.9%
Distinct26
Distinct (%)5.1%
Missing493
Missing (%)49.3%
Memory size60.7 KiB
2023-12-09T20:33:29.390011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length44
Median length37
Mean length34.14201183
Min length13

Characters and Unicode

Total characters17310
Distinct characters59
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.0%

Sample

1st rowCBECS combination - 2, Bank_LG+Office
2nd rowCBECS combination - 2, Bank_LG+Office
3rd rowCBECS combination - 2, Bank_LG+Office
4th rowCBECS combination - 2, Bank_LG+Office
5th rowCBECS combination - 2, Bank_LG+Office
ValueCountFrequency (%)
507
20.1%
cbecs 408
16.2%
combination 389
15.4%
2 348
13.8%
bank_lg+office 348
13.8%
pba 93
 
3.7%
plus 35
 
1.4%
warehouse 28
 
1.1%
store 16
 
0.6%
retail 16
 
0.6%
Other values (43) 332
13.2%
2023-12-09T20:33:29.797501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2013
 
11.6%
i 1274
 
7.4%
n 1237
 
7.1%
o 922
 
5.3%
a 885
 
5.1%
B 853
 
4.9%
C 837
 
4.8%
c 774
 
4.5%
f 751
 
4.3%
e 622
 
3.6%
Other values (49) 7142
41.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8894
51.4%
Uppercase Letter 4085
23.6%
Space Separator 2013
 
11.6%
Decimal Number 590
 
3.4%
Other Punctuation 525
 
3.0%
Dash Punctuation 503
 
2.9%
Connector Punctuation 348
 
2.0%
Math Symbol 348
 
2.0%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1274
14.3%
n 1237
13.9%
o 922
10.4%
a 885
10.0%
c 774
8.7%
f 751
8.4%
e 622
7.0%
t 576
6.5%
m 408
 
4.6%
b 404
 
4.5%
Other values (12) 1041
11.7%
Uppercase Letter
ValueCountFrequency (%)
B 853
20.9%
C 837
20.5%
S 450
11.0%
E 417
10.2%
L 384
9.4%
O 370
9.1%
G 348
8.5%
P 135
 
3.3%
A 99
 
2.4%
U 50
 
1.2%
Other values (9) 142
 
3.5%
Decimal Number
ValueCountFrequency (%)
2 387
65.6%
1 58
 
9.8%
7 41
 
6.9%
4 31
 
5.3%
9 26
 
4.4%
3 17
 
2.9%
5 15
 
2.5%
6 10
 
1.7%
8 5
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 484
92.2%
/ 37
 
7.0%
& 4
 
0.8%
Space Separator
ValueCountFrequency (%)
2013
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 503
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 348
100.0%
Math Symbol
ValueCountFrequency (%)
+ 348
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12979
75.0%
Common 4331
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1274
 
9.8%
n 1237
 
9.5%
o 922
 
7.1%
a 885
 
6.8%
B 853
 
6.6%
C 837
 
6.4%
c 774
 
6.0%
f 751
 
5.8%
e 622
 
4.8%
t 576
 
4.4%
Other values (31) 4248
32.7%
Common
ValueCountFrequency (%)
2013
46.5%
- 503
 
11.6%
, 484
 
11.2%
2 387
 
8.9%
_ 348
 
8.0%
+ 348
 
8.0%
1 58
 
1.3%
7 41
 
0.9%
/ 37
 
0.9%
4 31
 
0.7%
Other values (8) 81
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2013
 
11.6%
i 1274
 
7.4%
n 1237
 
7.1%
o 922
 
5.3%
a 885
 
5.1%
B 853
 
4.9%
C 837
 
4.8%
c 774
 
4.5%
f 751
 
4.3%
e 622
 
3.6%
Other values (49) 7142
41.3%
Distinct121
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:33:30.150428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
1930 36
 
3.6%
1929 31
 
3.1%
1939 29
 
2.9%
1927 27
 
2.7%
1928 27
 
2.7%
1926 24
 
2.4%
1925 24
 
2.4%
1920 23
 
2.3%
1910 21
 
2.1%
1963 21
 
2.1%
Other values (111) 737
73.7%
2023-12-09T20:33:30.629586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1068
26.7%
9 1053
26.3%
0 420
 
10.5%
2 383
 
9.6%
6 238
 
5.9%
5 208
 
5.2%
8 188
 
4.7%
3 187
 
4.7%
7 143
 
3.6%
4 112
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1068
26.7%
9 1053
26.3%
0 420
 
10.5%
2 383
 
9.6%
6 238
 
5.9%
5 208
 
5.2%
8 188
 
4.7%
3 187
 
4.7%
7 143
 
3.6%
4 112
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1068
26.7%
9 1053
26.3%
0 420
 
10.5%
2 383
 
9.6%
6 238
 
5.9%
5 208
 
5.2%
8 188
 
4.7%
3 187
 
4.7%
7 143
 
3.6%
4 112
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1068
26.7%
9 1053
26.3%
0 420
 
10.5%
2 383
 
9.6%
6 238
 
5.9%
5 208
 
5.2%
8 188
 
4.7%
3 187
 
4.7%
7 143
 
3.6%
4 112
 
2.8%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:33:30.769901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.016
Min length1

Characters and Unicode

Total characters1016
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 945
94.4%
0 36
 
3.6%
2 7
 
0.7%
12 4
 
0.4%
3 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
not 1
 
0.1%
available 1
 
0.1%
4 1
 
0.1%
2023-12-09T20:33:31.010666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 949
93.4%
0 36
 
3.5%
2 11
 
1.1%
3 3
 
0.3%
6 2
 
0.2%
l 2
 
0.2%
a 2
 
0.2%
v 1
 
0.1%
e 1
 
0.1%
b 1
 
0.1%
Other values (8) 8
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1003
98.7%
Lowercase Letter 10
 
1.0%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
e 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 949
94.6%
0 36
 
3.6%
2 11
 
1.1%
3 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
98.8%
Latin 12
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
e 1
8.3%
b 1
8.3%
i 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
N 1
8.3%
Common
ValueCountFrequency (%)
1 949
94.5%
0 36
 
3.6%
2 11
 
1.1%
3 3
 
0.3%
6 2
 
0.2%
1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 949
93.4%
0 36
 
3.5%
2 11
 
1.1%
3 3
 
0.3%
6 2
 
0.2%
l 2
 
0.2%
a 2
 
0.2%
v 1
 
0.1%
e 1
 
0.1%
b 1
 
0.1%
Other values (8) 8
 
0.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:33:31.152495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.977
Min length2

Characters and Unicode

Total characters2977
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
100 977
97.7%
95 9
 
0.9%
90 7
 
0.7%
25 2
 
0.2%
80 2
 
0.2%
85 1
 
0.1%
50 1
 
0.1%
30 1
 
0.1%
2023-12-09T20:33:31.421499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1965
66.0%
1 977
32.8%
9 16
 
0.5%
5 13
 
0.4%
8 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2977
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1965
66.0%
1 977
32.8%
9 16
 
0.5%
5 13
 
0.4%
8 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2977
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1965
66.0%
1 977
32.8%
9 16
 
0.5%
5 13
 
0.4%
8 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1965
66.0%
1 977
32.8%
9 16
 
0.5%
5 13
 
0.4%
8 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size71.7 KiB
2023-12-09T20:33:31.628142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length178
Median length14
Mean length16.309
Min length14

Characters and Unicode

Total characters16309
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowWhole Building
2nd rowWhole Building
3rd rowWhole Building
4th rowWhole Building
5th rowWhole Building
ValueCountFrequency (%)
whole 982
42.5%
building 982
42.5%
tenant 58
 
2.5%
common 57
 
2.5%
area 56
 
2.4%
cooling 29
 
1.3%
plug 28
 
1.2%
load/electricity 28
 
1.2%
heating 28
 
1.2%
hot 28
 
1.2%
Other values (5) 34
 
1.5%
2023-12-09T20:33:31.955295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2079
12.7%
l 2051
12.6%
1310
8.0%
n 1217
 
7.5%
o 1215
 
7.4%
e 1183
 
7.3%
g 1068
 
6.5%
u 1011
 
6.2%
W 1010
 
6.2%
d 1010
 
6.2%
Other values (19) 3155
19.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12540
76.9%
Uppercase Letter 2333
 
14.3%
Space Separator 1310
 
8.0%
Other Punctuation 126
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2079
16.6%
l 2051
16.4%
n 1217
9.7%
o 1215
9.7%
e 1183
9.4%
g 1068
8.5%
u 1011
8.1%
d 1010
8.1%
h 983
7.8%
a 203
 
1.6%
Other values (7) 520
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
W 1010
43.3%
B 982
42.1%
C 86
 
3.7%
T 58
 
2.5%
A 57
 
2.4%
H 56
 
2.4%
P 28
 
1.2%
L 28
 
1.2%
E 28
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 98
77.8%
/ 28
 
22.2%
Space Separator
ValueCountFrequency (%)
1310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14873
91.2%
Common 1436
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2079
14.0%
l 2051
13.8%
n 1217
8.2%
o 1215
8.2%
e 1183
8.0%
g 1068
7.2%
u 1011
6.8%
W 1010
6.8%
d 1010
6.8%
h 983
6.6%
Other values (16) 2046
13.8%
Common
ValueCountFrequency (%)
1310
91.2%
, 98
 
6.8%
/ 28
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2079
12.7%
l 2051
12.6%
1310
8.0%
n 1217
 
7.5%
o 1215
 
7.4%
e 1183
 
7.3%
g 1068
 
6.5%
u 1011
 
6.2%
W 1010
 
6.2%
d 1010
 
6.2%
Other values (19) 3155
19.3%
Distinct85
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:33:32.260522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.996
Min length1

Characters and Unicode

Total characters8996
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 637
38.9%
available 637
38.9%
79 17
 
1.0%
83 13
 
0.8%
1 11
 
0.7%
77 10
 
0.6%
78 10
 
0.6%
82 10
 
0.6%
72 9
 
0.5%
68 9
 
0.5%
Other values (76) 274
16.7%
2023-12-09T20:33:32.707883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1274
14.2%
l 1274
14.2%
N 637
7.1%
o 637
7.1%
b 637
7.1%
i 637
7.1%
e 637
7.1%
v 637
7.1%
A 637
7.1%
637
7.1%
Other values (11) 1352
15.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6370
70.8%
Uppercase Letter 1274
 
14.2%
Decimal Number 715
 
7.9%
Space Separator 637
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 120
16.8%
8 120
16.8%
6 83
11.6%
4 69
9.7%
5 68
9.5%
9 67
9.4%
2 64
9.0%
1 49
6.9%
3 41
 
5.7%
0 34
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1274
20.0%
l 1274
20.0%
o 637
10.0%
b 637
10.0%
i 637
10.0%
e 637
10.0%
v 637
10.0%
t 637
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 637
50.0%
A 637
50.0%
Space Separator
ValueCountFrequency (%)
637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7644
85.0%
Common 1352
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
637
47.1%
7 120
 
8.9%
8 120
 
8.9%
6 83
 
6.1%
4 69
 
5.1%
5 68
 
5.0%
9 67
 
5.0%
2 64
 
4.7%
1 49
 
3.6%
3 41
 
3.0%
Latin
ValueCountFrequency (%)
a 1274
16.7%
l 1274
16.7%
N 637
8.3%
o 637
8.3%
b 637
8.3%
i 637
8.3%
e 637
8.3%
v 637
8.3%
A 637
8.3%
t 637
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1274
14.2%
l 1274
14.2%
N 637
7.1%
o 637
7.1%
b 637
7.1%
i 637
7.1%
e 637
7.1%
v 637
7.1%
A 637
7.1%
637
7.1%
Other values (11) 1352
15.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:33:32.829344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T20:33:33.075158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct51
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:33:33.287174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length64
Median length13
Mean length13.114
Min length4

Characters and Unicode

Total characters13114
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row2010, 2008, 2006, 2005, 2003, 2002, 2001
2nd row2010, 2008, 2001
3rd row2010, 2008, 2006, 2005, 2003, 2002, 2001
4th row2010, 2008, 2006, 2005, 2003, 2001
5th row2010, 2008, 2006, 2005, 2003, 2002, 2001
ValueCountFrequency (%)
not 872
41.9%
available 872
41.9%
2013 75
 
3.6%
2012 68
 
3.3%
2011 48
 
2.3%
2010 48
 
2.3%
2008 31
 
1.5%
2009 29
 
1.4%
2006 7
 
0.3%
2014 7
 
0.3%
Other values (6) 26
 
1.2%
2023-12-09T20:33:33.612223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1744
13.3%
l 1744
13.3%
1083
8.3%
N 872
 
6.6%
t 872
 
6.6%
A 872
 
6.6%
v 872
 
6.6%
i 872
 
6.6%
b 872
 
6.6%
e 872
 
6.6%
Other values (12) 2439
18.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8720
66.5%
Uppercase Letter 1744
 
13.3%
Decimal Number 1356
 
10.3%
Space Separator 1083
 
8.3%
Other Punctuation 211
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 480
35.4%
2 410
30.2%
1 299
22.1%
3 80
 
5.9%
8 31
 
2.3%
9 29
 
2.1%
4 8
 
0.6%
6 7
 
0.5%
7 6
 
0.4%
5 6
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1744
20.0%
l 1744
20.0%
t 872
10.0%
v 872
10.0%
i 872
10.0%
b 872
10.0%
e 872
10.0%
o 872
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 872
50.0%
A 872
50.0%
Space Separator
ValueCountFrequency (%)
1083
100.0%
Other Punctuation
ValueCountFrequency (%)
, 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10464
79.8%
Common 2650
 
20.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1083
40.9%
0 480
18.1%
2 410
 
15.5%
1 299
 
11.3%
, 211
 
8.0%
3 80
 
3.0%
8 31
 
1.2%
9 29
 
1.1%
4 8
 
0.3%
6 7
 
0.3%
Other values (2) 12
 
0.5%
Latin
ValueCountFrequency (%)
a 1744
16.7%
l 1744
16.7%
N 872
8.3%
t 872
8.3%
A 872
8.3%
v 872
8.3%
i 872
8.3%
b 872
8.3%
e 872
8.3%
o 872
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1744
13.3%
l 1744
13.3%
1083
8.3%
N 872
 
6.6%
t 872
 
6.6%
A 872
 
6.6%
v 872
 
6.6%
i 872
 
6.6%
b 872
 
6.6%
e 872
 
6.6%
Other values (12) 2439
18.6%
Distinct102
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:33:33.943558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.616
Min length10

Characters and Unicode

Total characters12616
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)8.7%

Sample

1st row01/14/2011
2nd row01/14/2011
3rd row01/14/2011
4th row01/14/2011
5th row03/22/2011
ValueCountFrequency (%)
not 872
46.6%
available 872
46.6%
11/29/2013 6
 
0.3%
01/06/2014 5
 
0.3%
01/14/2011 4
 
0.2%
09/28/2012 4
 
0.2%
01/13/2014 3
 
0.2%
11/27/2013 3
 
0.2%
02/19/2014 2
 
0.1%
01/23/2012 2
 
0.1%
Other values (93) 99
 
5.3%
2023-12-09T20:33:34.409714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1744
13.8%
l 1744
13.8%
N 872
6.9%
o 872
6.9%
t 872
6.9%
872
6.9%
A 872
6.9%
v 872
6.9%
i 872
6.9%
b 872
6.9%
Other values (12) 2152
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8720
69.1%
Uppercase Letter 1744
 
13.8%
Decimal Number 1024
 
8.1%
Space Separator 872
 
6.9%
Other Punctuation 256
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 297
29.0%
0 264
25.8%
2 225
22.0%
3 82
 
8.0%
4 39
 
3.8%
9 36
 
3.5%
6 27
 
2.6%
8 24
 
2.3%
5 19
 
1.9%
7 11
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
a 1744
20.0%
l 1744
20.0%
o 872
10.0%
t 872
10.0%
v 872
10.0%
i 872
10.0%
b 872
10.0%
e 872
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 872
50.0%
A 872
50.0%
Space Separator
ValueCountFrequency (%)
872
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10464
82.9%
Common 2152
 
17.1%

Most frequent character per script

Common
ValueCountFrequency (%)
872
40.5%
1 297
 
13.8%
0 264
 
12.3%
/ 256
 
11.9%
2 225
 
10.5%
3 82
 
3.8%
4 39
 
1.8%
9 36
 
1.7%
6 27
 
1.3%
8 24
 
1.1%
Other values (2) 30
 
1.4%
Latin
ValueCountFrequency (%)
a 1744
16.7%
l 1744
16.7%
N 872
8.3%
o 872
8.3%
t 872
8.3%
A 872
8.3%
v 872
8.3%
i 872
8.3%
b 872
8.3%
e 872
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1744
13.8%
l 1744
13.8%
N 872
6.9%
o 872
6.9%
t 872
6.9%
872
6.9%
A 872
6.9%
v 872
6.9%
i 872
6.9%
b 872
6.9%
Other values (12) 2152
17.1%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:33:34.651163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.616
Min length10

Characters and Unicode

Total characters12616
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row08/31/2011
2nd row08/31/2011
3rd row08/31/2011
4th row08/31/2011
5th row08/31/2011
ValueCountFrequency (%)
not 872
46.6%
available 872
46.6%
08/31/2014 26
 
1.4%
07/31/2014 20
 
1.1%
02/28/2014 10
 
0.5%
08/31/2013 10
 
0.5%
05/31/2013 9
 
0.5%
08/31/2011 9
 
0.5%
03/31/2014 6
 
0.3%
08/31/2012 6
 
0.3%
Other values (19) 32
 
1.7%
2023-12-09T20:33:35.004884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1744
13.8%
l 1744
13.8%
N 872
6.9%
o 872
6.9%
t 872
6.9%
872
6.9%
A 872
6.9%
v 872
6.9%
i 872
6.9%
b 872
6.9%
Other values (12) 2152
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8720
69.1%
Uppercase Letter 1744
 
13.8%
Decimal Number 1024
 
8.1%
Space Separator 872
 
6.9%
Other Punctuation 256
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 277
27.1%
1 241
23.5%
2 166
16.2%
3 148
14.5%
4 76
 
7.4%
8 66
 
6.4%
7 21
 
2.1%
5 15
 
1.5%
6 11
 
1.1%
9 3
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1744
20.0%
l 1744
20.0%
o 872
10.0%
t 872
10.0%
v 872
10.0%
i 872
10.0%
b 872
10.0%
e 872
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 872
50.0%
A 872
50.0%
Space Separator
ValueCountFrequency (%)
872
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10464
82.9%
Common 2152
 
17.1%

Most frequent character per script

Common
ValueCountFrequency (%)
872
40.5%
0 277
 
12.9%
/ 256
 
11.9%
1 241
 
11.2%
2 166
 
7.7%
3 148
 
6.9%
4 76
 
3.5%
8 66
 
3.1%
7 21
 
1.0%
5 15
 
0.7%
Other values (2) 14
 
0.7%
Latin
ValueCountFrequency (%)
a 1744
16.7%
l 1744
16.7%
N 872
8.3%
o 872
8.3%
t 872
8.3%
A 872
8.3%
v 872
8.3%
i 872
8.3%
b 872
8.3%
e 872
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1744
13.8%
l 1744
13.8%
N 872
6.9%
o 872
6.9%
t 872
6.9%
872
6.9%
A 872
6.9%
v 872
6.9%
i 872
6.9%
b 872
6.9%
Other values (12) 2152
17.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:33:35.124449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.05
Min length2

Characters and Unicode

Total characters2050
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 950
95.0%
yes 50
 
5.0%
2023-12-09T20:33:35.348325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 950
46.3%
o 950
46.3%
Y 50
 
2.4%
e 50
 
2.4%
s 50
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1050
51.2%
Uppercase Letter 1000
48.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 950
90.5%
e 50
 
4.8%
s 50
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 950
95.0%
Y 50
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2050
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 950
46.3%
o 950
46.3%
Y 50
 
2.4%
e 50
 
2.4%
s 50
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 950
46.3%
o 950
46.3%
Y 50
 
2.4%
e 50
 
2.4%
s 50
 
2.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:33:35.524159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:33:35.813853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:33:35.931207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.026
Min length2

Characters and Unicode

Total characters2026
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 974
97.4%
yes 26
 
2.6%
2023-12-09T20:33:36.170725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 974
48.1%
o 974
48.1%
Y 26
 
1.3%
e 26
 
1.3%
s 26
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1026
50.6%
Uppercase Letter 1000
49.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 974
94.9%
e 26
 
2.5%
s 26
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
N 974
97.4%
Y 26
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 2026
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 974
48.1%
o 974
48.1%
Y 26
 
1.3%
e 26
 
1.3%
s 26
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2026
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 974
48.1%
o 974
48.1%
Y 26
 
1.3%
e 26
 
1.3%
s 26
 
1.3%
Distinct603
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:33:36.709488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.046
Min length1

Characters and Unicode

Total characters5046
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)40.4%

Sample

1st row79.1
2nd row90
3rd row62.2
4th row105.5
5th row104.1
ValueCountFrequency (%)
not 105
 
9.5%
available 105
 
9.5%
78.2 6
 
0.5%
101.6 5
 
0.5%
85 5
 
0.5%
77.5 5
 
0.5%
81.5 5
 
0.5%
60.9 5
 
0.5%
80.5 4
 
0.4%
90.2 4
 
0.4%
Other values (594) 856
77.5%
2023-12-09T20:33:37.365012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 808
16.0%
1 472
 
9.4%
7 322
 
6.4%
8 321
 
6.4%
6 289
 
5.7%
2 285
 
5.6%
9 274
 
5.4%
3 245
 
4.9%
5 245
 
4.9%
4 242
 
4.8%
Other values (12) 1543
30.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2873
56.9%
Lowercase Letter 1050
 
20.8%
Other Punctuation 808
 
16.0%
Uppercase Letter 210
 
4.2%
Space Separator 105
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 472
16.4%
7 322
11.2%
8 321
11.2%
6 289
10.1%
2 285
9.9%
9 274
9.5%
3 245
8.5%
5 245
8.5%
4 242
8.4%
0 178
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 210
20.0%
a 210
20.0%
e 105
10.0%
o 105
10.0%
b 105
10.0%
i 105
10.0%
v 105
10.0%
t 105
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 105
50.0%
N 105
50.0%
Other Punctuation
ValueCountFrequency (%)
. 808
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3786
75.0%
Latin 1260
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 808
21.3%
1 472
12.5%
7 322
 
8.5%
8 321
 
8.5%
6 289
 
7.6%
2 285
 
7.5%
9 274
 
7.2%
3 245
 
6.5%
5 245
 
6.5%
4 242
 
6.4%
Other values (2) 283
 
7.5%
Latin
ValueCountFrequency (%)
l 210
16.7%
a 210
16.7%
e 105
8.3%
o 105
8.3%
b 105
8.3%
i 105
8.3%
v 105
8.3%
A 105
8.3%
t 105
8.3%
N 105
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 808
16.0%
1 472
 
9.4%
7 322
 
6.4%
8 321
 
6.4%
6 289
 
5.7%
2 285
 
5.6%
9 274
 
5.4%
3 245
 
4.9%
5 245
 
4.9%
4 242
 
4.8%
Other values (12) 1543
30.6%
Distinct555
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T20:33:37.886290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length6.139
Min length1

Characters and Unicode

Total characters6139
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique395 ?
Unique (%)39.5%

Sample

1st row78.6
2nd row89.2
3rd row62.7
4th row104
5th row104.1
ValueCountFrequency (%)
not 227
 
18.5%
available 227
 
18.5%
75.8 6
 
0.5%
77.5 6
 
0.5%
80.1 5
 
0.4%
71.3 4
 
0.3%
87.4 4
 
0.3%
53.1 4
 
0.3%
100.8 4
 
0.3%
77.1 4
 
0.3%
Other values (546) 736
60.0%
2023-12-09T20:33:38.533276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 700
 
11.4%
a 454
 
7.4%
l 454
 
7.4%
1 419
 
6.8%
7 276
 
4.5%
8 270
 
4.4%
9 262
 
4.3%
6 241
 
3.9%
2 229
 
3.7%
i 227
 
3.7%
Other values (12) 2607
42.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2488
40.5%
Lowercase Letter 2270
37.0%
Other Punctuation 700
 
11.4%
Uppercase Letter 454
 
7.4%
Space Separator 227
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 419
16.8%
7 276
11.1%
8 270
10.9%
9 262
10.5%
6 241
9.7%
2 229
9.2%
3 212
8.5%
4 209
8.4%
5 205
8.2%
0 165
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 454
20.0%
l 454
20.0%
i 227
10.0%
v 227
10.0%
b 227
10.0%
e 227
10.0%
o 227
10.0%
t 227
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 227
50.0%
N 227
50.0%
Other Punctuation
ValueCountFrequency (%)
. 700
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3415
55.6%
Latin 2724
44.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 700
20.5%
1 419
12.3%
7 276
 
8.1%
8 270
 
7.9%
9 262
 
7.7%
6 241
 
7.1%
2 229
 
6.7%
227
 
6.6%
3 212
 
6.2%
4 209
 
6.1%
Other values (2) 370
10.8%
Latin
ValueCountFrequency (%)
a 454
16.7%
l 454
16.7%
i 227
8.3%
v 227
8.3%
b 227
8.3%
e 227
8.3%
o 227
8.3%
A 227
8.3%
t 227
8.3%
N 227
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 700
 
11.4%
a 454
 
7.4%
l 454
 
7.4%
1 419
 
6.8%
7 276
 
4.5%
8 270
 
4.4%
9 262
 
4.3%
6 241
 
3.9%
2 229
 
3.7%
i 227
 
3.7%
Other values (12) 2607
42.5%
Distinct894
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-09T20:33:38.888898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.815
Min length5

Characters and Unicode

Total characters9815
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique890 ?
Unique (%)89.0%

Sample

1st row54358409.4
2nd row34606026.2
3rd row35588890
4th row38264584.3
5th row166811638.1
ValueCountFrequency (%)
not 104
 
9.4%
available 104
 
9.4%
22487153.6 2
 
0.2%
25112188.9 2
 
0.2%
38817818.4 2
 
0.2%
5860014.8 1
 
0.1%
5425360.6 1
 
0.1%
5859434.6 1
 
0.1%
4153013.8 1
 
0.1%
35896739.8 1
 
0.1%
Other values (885) 885
80.2%
2023-12-09T20:33:39.395757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 935
9.5%
2 815
8.3%
. 806
8.2%
4 784
8.0%
3 771
 
7.9%
6 769
 
7.8%
9 762
 
7.8%
7 754
 
7.7%
5 744
 
7.6%
8 739
 
7.5%
Other values (12) 1936
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7657
78.0%
Lowercase Letter 1040
 
10.6%
Other Punctuation 806
 
8.2%
Uppercase Letter 208
 
2.1%
Space Separator 104
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 935
12.2%
2 815
10.6%
4 784
10.2%
3 771
10.1%
6 769
10.0%
9 762
10.0%
7 754
9.8%
5 744
9.7%
8 739
9.7%
0 584
7.6%
Lowercase Letter
ValueCountFrequency (%)
l 208
20.0%
a 208
20.0%
o 104
10.0%
e 104
10.0%
b 104
10.0%
i 104
10.0%
v 104
10.0%
t 104
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 104
50.0%
N 104
50.0%
Other Punctuation
ValueCountFrequency (%)
. 806
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8567
87.3%
Latin 1248
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 935
10.9%
2 815
9.5%
. 806
9.4%
4 784
9.2%
3 771
9.0%
6 769
9.0%
9 762
8.9%
7 754
8.8%
5 744
8.7%
8 739
8.6%
Other values (2) 688
8.0%
Latin
ValueCountFrequency (%)
l 208
16.7%
a 208
16.7%
o 104
8.3%
e 104
8.3%
b 104
8.3%
i 104
8.3%
v 104
8.3%
A 104
8.3%
t 104
8.3%
N 104
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 935
9.5%
2 815
8.3%
. 806
8.2%
4 784
8.0%
3 771
 
7.9%
6 769
 
7.8%
9 762
 
7.8%
7 754
 
7.7%
5 744
 
7.6%
8 739
 
7.5%
Other values (12) 1936
19.7%
Distinct772
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:33:39.751932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.232
Min length6

Characters and Unicode

Total characters10232
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique769 ?
Unique (%)76.9%

Sample

1st row54013610.7
2nd row34295589.5
3rd row35880358
4th row37697259.2
5th row166828849.2
ValueCountFrequency (%)
not 227
 
18.5%
available 227
 
18.5%
22300428.1 2
 
0.2%
25063765.5 2
 
0.2%
13966828.1 1
 
0.1%
1871308.1 1
 
0.1%
13949016.7 1
 
0.1%
20430440.5 1
 
0.1%
5691455.6 1
 
0.1%
29618396.6 1
 
0.1%
Other values (763) 763
62.2%
2023-12-09T20:33:40.241776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 817
 
8.0%
5 716
 
7.0%
2 697
 
6.8%
. 682
 
6.7%
6 672
 
6.6%
3 645
 
6.3%
9 637
 
6.2%
4 631
 
6.2%
8 608
 
5.9%
7 604
 
5.9%
Other values (12) 3523
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6599
64.5%
Lowercase Letter 2270
 
22.2%
Other Punctuation 682
 
6.7%
Uppercase Letter 454
 
4.4%
Space Separator 227
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 817
12.4%
5 716
10.9%
2 697
10.6%
6 672
10.2%
3 645
9.8%
9 637
9.7%
4 631
9.6%
8 608
9.2%
7 604
9.2%
0 572
8.7%
Lowercase Letter
ValueCountFrequency (%)
l 454
20.0%
a 454
20.0%
i 227
10.0%
b 227
10.0%
e 227
10.0%
o 227
10.0%
v 227
10.0%
t 227
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 227
50.0%
N 227
50.0%
Other Punctuation
ValueCountFrequency (%)
. 682
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7508
73.4%
Latin 2724
 
26.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 817
10.9%
5 716
9.5%
2 697
9.3%
. 682
9.1%
6 672
9.0%
3 645
8.6%
9 637
8.5%
4 631
8.4%
8 608
8.1%
7 604
8.0%
Other values (2) 799
10.6%
Latin
ValueCountFrequency (%)
l 454
16.7%
a 454
16.7%
i 227
8.3%
b 227
8.3%
e 227
8.3%
o 227
8.3%
v 227
8.3%
A 227
8.3%
t 227
8.3%
N 227
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 817
 
8.0%
5 716
 
7.0%
2 697
 
6.8%
. 682
 
6.7%
6 672
 
6.6%
3 645
 
6.3%
9 637
 
6.2%
4 631
 
6.2%
8 608
 
5.9%
7 604
 
5.9%
Other values (12) 3523
34.4%
Distinct448
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:33:40.625138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.269
Min length6

Characters and Unicode

Total characters11269
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique444 ?
Unique (%)44.4%

Sample

1st row36955327.6
2nd row26756467.2
3rd row33369112.7
4th row24872850.8
5th row100283760.2
ValueCountFrequency (%)
not 550
35.5%
available 550
35.5%
18278640 2
 
0.1%
39077883.9 2
 
0.1%
16047191.6 2
 
0.1%
16567356 1
 
0.1%
18575381.5 1
 
0.1%
72212186.6 1
 
0.1%
290553136.2 1
 
0.1%
50731718.4 1
 
0.1%
Other values (439) 439
28.3%
2023-12-09T20:33:41.142975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1100
 
9.8%
l 1100
 
9.8%
N 550
 
4.9%
t 550
 
4.9%
550
 
4.9%
A 550
 
4.9%
v 550
 
4.9%
i 550
 
4.9%
b 550
 
4.9%
e 550
 
4.9%
Other values (12) 4669
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5500
48.8%
Decimal Number 3852
34.2%
Uppercase Letter 1100
 
9.8%
Space Separator 550
 
4.9%
Other Punctuation 267
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 494
12.8%
1 449
11.7%
2 427
11.1%
5 400
10.4%
3 372
9.7%
4 368
9.6%
6 358
9.3%
8 336
8.7%
7 324
8.4%
9 324
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 1100
20.0%
l 1100
20.0%
t 550
10.0%
v 550
10.0%
i 550
10.0%
b 550
10.0%
e 550
10.0%
o 550
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 550
50.0%
A 550
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 267
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6600
58.6%
Common 4669
41.4%

Most frequent character per script

Common
ValueCountFrequency (%)
550
11.8%
0 494
10.6%
1 449
9.6%
2 427
9.1%
5 400
8.6%
3 372
8.0%
4 368
7.9%
6 358
7.7%
8 336
7.2%
7 324
6.9%
Other values (2) 591
12.7%
Latin
ValueCountFrequency (%)
a 1100
16.7%
l 1100
16.7%
N 550
8.3%
t 550
8.3%
A 550
8.3%
v 550
8.3%
i 550
8.3%
b 550
8.3%
e 550
8.3%
o 550
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1100
 
9.8%
l 1100
 
9.8%
N 550
 
4.9%
t 550
 
4.9%
550
 
4.9%
A 550
 
4.9%
v 550
 
4.9%
i 550
 
4.9%
b 550
 
4.9%
e 550
 
4.9%
Other values (12) 4669
41.4%
Distinct370
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:33:41.670530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.114
Min length2

Characters and Unicode

Total characters9114
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)30.2%

Sample

1st row53.8
2nd row69.6
3rd row58.3
4th row68.6
5th row62.6
ValueCountFrequency (%)
not 550
35.5%
available 550
35.5%
58.3 4
 
0.3%
102 4
 
0.3%
53.8 4
 
0.3%
111.9 4
 
0.3%
113.1 3
 
0.2%
107 3
 
0.2%
101.2 3
 
0.2%
100.1 3
 
0.2%
Other values (361) 422
27.2%
2023-12-09T20:33:42.331726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (12) 2514
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5500
60.3%
Decimal Number 1566
 
17.2%
Uppercase Letter 1100
 
12.1%
Space Separator 550
 
6.0%
Other Punctuation 398
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 413
26.4%
2 166
10.6%
3 150
 
9.6%
9 132
 
8.4%
5 132
 
8.4%
8 132
 
8.4%
7 119
 
7.6%
0 115
 
7.3%
6 104
 
6.6%
4 103
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1100
20.0%
l 1100
20.0%
t 550
10.0%
v 550
10.0%
i 550
10.0%
b 550
10.0%
e 550
10.0%
o 550
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 550
50.0%
A 550
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6600
72.4%
Common 2514
 
27.6%

Most frequent character per script

Common
ValueCountFrequency (%)
550
21.9%
1 413
16.4%
. 398
15.8%
2 166
 
6.6%
3 150
 
6.0%
9 132
 
5.3%
5 132
 
5.3%
8 132
 
5.3%
7 119
 
4.7%
0 115
 
4.6%
Other values (2) 207
 
8.2%
Latin
ValueCountFrequency (%)
a 1100
16.7%
l 1100
16.7%
N 550
8.3%
t 550
8.3%
A 550
8.3%
v 550
8.3%
i 550
8.3%
b 550
8.3%
e 550
8.3%
o 550
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (12) 2514
27.6%
Distinct382
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:33:42.845591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.128
Min length1

Characters and Unicode

Total characters9128
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)32.4%

Sample

1st row47
2nd row29.3
3rd row6.7
4th row53.8
5th row66.3
ValueCountFrequency (%)
not 550
35.5%
available 550
35.5%
14.7 4
 
0.3%
35.9 4
 
0.3%
28.5 4
 
0.3%
35.4 4
 
0.3%
12.7 3
 
0.2%
6.7 3
 
0.2%
12.2 3
 
0.2%
14.6 3
 
0.2%
Other values (334) 422
27.2%
2023-12-09T20:33:43.485845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (13) 2528
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5500
60.3%
Decimal Number 1275
 
14.0%
Uppercase Letter 1100
 
12.1%
Space Separator 550
 
6.0%
Other Punctuation 406
 
4.4%
Dash Punctuation 297
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 189
14.8%
3 183
14.4%
2 181
14.2%
4 148
11.6%
5 122
9.6%
8 108
8.5%
7 108
8.5%
6 103
8.1%
9 89
7.0%
0 44
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 1100
20.0%
l 1100
20.0%
t 550
10.0%
v 550
10.0%
i 550
10.0%
b 550
10.0%
e 550
10.0%
o 550
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 550
50.0%
A 550
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6600
72.3%
Common 2528
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
550
21.8%
. 406
16.1%
- 297
11.7%
1 189
 
7.5%
3 183
 
7.2%
2 181
 
7.2%
4 148
 
5.9%
5 122
 
4.8%
8 108
 
4.3%
7 108
 
4.3%
Other values (3) 236
9.3%
Latin
ValueCountFrequency (%)
a 1100
16.7%
l 1100
16.7%
N 550
8.3%
t 550
8.3%
A 550
8.3%
v 550
8.3%
i 550
8.3%
b 550
8.3%
e 550
8.3%
o 550
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (13) 2528
27.7%
Distinct767
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:33:43.974149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.543
Min length2

Characters and Unicode

Total characters5543
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique650 ?
Unique (%)65.0%

Sample

1st row217.9
2nd row191.4
3rd row157.9
4th row227.8
5th row246.4
ValueCountFrequency (%)
not 105
 
9.5%
available 105
 
9.5%
112.6 3
 
0.3%
131.6 3
 
0.3%
217.9 3
 
0.3%
102.8 3
 
0.3%
136.5 3
 
0.3%
118.4 3
 
0.3%
235.1 3
 
0.3%
104 3
 
0.3%
Other values (758) 871
78.8%
2023-12-09T20:33:44.609251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 810
14.6%
1 778
14.0%
2 469
 
8.5%
3 312
 
5.6%
5 282
 
5.1%
4 278
 
5.0%
9 274
 
4.9%
6 272
 
4.9%
8 269
 
4.9%
7 255
 
4.6%
Other values (12) 1544
27.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3368
60.8%
Lowercase Letter 1050
 
18.9%
Other Punctuation 810
 
14.6%
Uppercase Letter 210
 
3.8%
Space Separator 105
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 778
23.1%
2 469
13.9%
3 312
9.3%
5 282
 
8.4%
4 278
 
8.3%
9 274
 
8.1%
6 272
 
8.1%
8 269
 
8.0%
7 255
 
7.6%
0 179
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 210
20.0%
a 210
20.0%
e 105
10.0%
o 105
10.0%
b 105
10.0%
i 105
10.0%
v 105
10.0%
t 105
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 105
50.0%
N 105
50.0%
Other Punctuation
ValueCountFrequency (%)
. 810
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4283
77.3%
Latin 1260
 
22.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 810
18.9%
1 778
18.2%
2 469
11.0%
3 312
 
7.3%
5 282
 
6.6%
4 278
 
6.5%
9 274
 
6.4%
6 272
 
6.4%
8 269
 
6.3%
7 255
 
6.0%
Other values (2) 284
 
6.6%
Latin
ValueCountFrequency (%)
l 210
16.7%
a 210
16.7%
e 105
8.3%
o 105
8.3%
b 105
8.3%
i 105
8.3%
v 105
8.3%
A 105
8.3%
t 105
8.3%
N 105
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 810
14.6%
1 778
14.0%
2 469
 
8.5%
3 312
 
5.6%
5 282
 
5.1%
4 278
 
5.0%
9 274
 
4.9%
6 272
 
4.9%
8 269
 
4.9%
7 255
 
4.6%
Other values (12) 1544
27.9%
Distinct654
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
2023-12-09T20:33:45.125928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length6.545
Min length2

Characters and Unicode

Total characters6545
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)54.8%

Sample

1st row217.4
2nd row190.5
3rd row159.9
4th row225.7
5th row246.5
ValueCountFrequency (%)
not 227
 
18.5%
available 227
 
18.5%
123.2 3
 
0.2%
149.3 3
 
0.2%
175.9 3
 
0.2%
118.8 3
 
0.2%
174.7 3
 
0.2%
131 3
 
0.2%
145.7 3
 
0.2%
142.9 3
 
0.2%
Other values (645) 749
61.0%
2023-12-09T20:33:45.788360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 694
 
10.6%
1 651
 
9.9%
a 454
 
6.9%
l 454
 
6.9%
2 415
 
6.3%
3 268
 
4.1%
4 247
 
3.8%
5 245
 
3.7%
7 244
 
3.7%
6 243
 
3.7%
Other values (12) 2630
40.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2900
44.3%
Lowercase Letter 2270
34.7%
Other Punctuation 694
 
10.6%
Uppercase Letter 454
 
6.9%
Space Separator 227
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 651
22.4%
2 415
14.3%
3 268
9.2%
4 247
 
8.5%
5 245
 
8.4%
7 244
 
8.4%
6 243
 
8.4%
8 218
 
7.5%
9 214
 
7.4%
0 155
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 454
20.0%
l 454
20.0%
o 227
10.0%
e 227
10.0%
b 227
10.0%
i 227
10.0%
v 227
10.0%
t 227
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 227
50.0%
A 227
50.0%
Other Punctuation
ValueCountFrequency (%)
. 694
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3821
58.4%
Latin 2724
41.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 694
18.2%
1 651
17.0%
2 415
10.9%
3 268
 
7.0%
4 247
 
6.5%
5 245
 
6.4%
7 244
 
6.4%
6 243
 
6.4%
227
 
5.9%
8 218
 
5.7%
Other values (2) 369
9.7%
Latin
ValueCountFrequency (%)
a 454
16.7%
l 454
16.7%
o 227
8.3%
N 227
8.3%
e 227
8.3%
b 227
8.3%
i 227
8.3%
v 227
8.3%
A 227
8.3%
t 227
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 694
 
10.6%
1 651
 
9.9%
a 454
 
6.9%
l 454
 
6.9%
2 415
 
6.3%
3 268
 
4.1%
4 247
 
3.8%
5 245
 
3.7%
7 244
 
3.7%
6 243
 
3.7%
Other values (12) 2630
40.2%
Distinct894
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T20:33:46.140137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.102
Min length6

Characters and Unicode

Total characters10102
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique890 ?
Unique (%)89.0%

Sample

1st row149701697.7
2nd row73597703.6
3rd row90389872
4th row82606090.9
5th row394795163.1
ValueCountFrequency (%)
not 104
 
9.4%
available 104
 
9.4%
63784575.1 2
 
0.2%
52330730.4 2
 
0.2%
81243611.4 2
 
0.2%
4198627.7 1
 
0.1%
18319426.1 1
 
0.1%
14563039.2 1
 
0.1%
199374.9 1
 
0.1%
265653055.8 1
 
0.1%
Other values (885) 885
80.2%
2023-12-09T20:33:46.621077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1023
10.1%
2 869
8.6%
3 865
8.6%
. 808
 
8.0%
5 765
 
7.6%
8 764
 
7.6%
9 762
 
7.5%
4 762
 
7.5%
6 743
 
7.4%
7 719
 
7.1%
Other values (12) 2022
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7942
78.6%
Lowercase Letter 1040
 
10.3%
Other Punctuation 808
 
8.0%
Uppercase Letter 208
 
2.1%
Space Separator 104
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1023
12.9%
2 869
10.9%
3 865
10.9%
5 765
9.6%
8 764
9.6%
9 762
9.6%
4 762
9.6%
6 743
9.4%
7 719
9.1%
0 670
8.4%
Lowercase Letter
ValueCountFrequency (%)
l 208
20.0%
a 208
20.0%
b 104
10.0%
e 104
10.0%
o 104
10.0%
i 104
10.0%
v 104
10.0%
t 104
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 104
50.0%
N 104
50.0%
Other Punctuation
ValueCountFrequency (%)
. 808
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8854
87.6%
Latin 1248
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1023
11.6%
2 869
9.8%
3 865
9.8%
. 808
9.1%
5 765
8.6%
8 764
8.6%
9 762
8.6%
4 762
8.6%
6 743
8.4%
7 719
8.1%
Other values (2) 774
8.7%
Latin
ValueCountFrequency (%)
l 208
16.7%
a 208
16.7%
b 104
8.3%
e 104
8.3%
o 104
8.3%
i 104
8.3%
v 104
8.3%
A 104
8.3%
t 104
8.3%
N 104
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1023
10.1%
2 869
8.6%
3 865
8.6%
. 808
 
8.0%
5 765
 
7.6%
8 764
 
7.6%
9 762
 
7.5%
4 762
 
7.5%
6 743
 
7.4%
7 719
 
7.1%
Other values (12) 2022
20.0%
Distinct500
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:33:46.992814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.269
Min length5

Characters and Unicode

Total characters11269
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique496 ?
Unique (%)49.6%

Sample

1st row101730186.2
2nd row56934379.2
3rd row84767848.9
4th row53697801.8
5th row237252793.7
ValueCountFrequency (%)
not 498
33.2%
available 498
33.2%
81784701.3 2
 
0.1%
40764821.2 2
 
0.1%
42563940 2
 
0.1%
13546000 1
 
0.1%
117228490.5 1
 
0.1%
46038800 1
 
0.1%
28821649.2 1
 
0.1%
7170654.4 1
 
0.1%
Other values (491) 491
32.8%
2023-12-09T20:33:47.513364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 996
 
8.8%
a 996
 
8.8%
1 547
 
4.9%
0 510
 
4.5%
N 498
 
4.4%
o 498
 
4.4%
e 498
 
4.4%
b 498
 
4.4%
i 498
 
4.4%
v 498
 
4.4%
Other values (12) 5232
46.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4980
44.2%
Decimal Number 4478
39.7%
Uppercase Letter 996
 
8.8%
Space Separator 498
 
4.4%
Other Punctuation 317
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 547
12.2%
0 510
11.4%
2 483
10.8%
4 454
10.1%
3 444
9.9%
5 433
9.7%
6 430
9.6%
8 426
9.5%
9 377
8.4%
7 374
8.4%
Lowercase Letter
ValueCountFrequency (%)
l 996
20.0%
a 996
20.0%
o 498
10.0%
e 498
10.0%
b 498
10.0%
i 498
10.0%
v 498
10.0%
t 498
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 498
50.0%
A 498
50.0%
Space Separator
ValueCountFrequency (%)
498
100.0%
Other Punctuation
ValueCountFrequency (%)
. 317
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5976
53.0%
Common 5293
47.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 547
10.3%
0 510
9.6%
498
9.4%
2 483
9.1%
4 454
8.6%
3 444
8.4%
5 433
8.2%
6 430
8.1%
8 426
8.0%
9 377
7.1%
Other values (2) 691
13.1%
Latin
ValueCountFrequency (%)
l 996
16.7%
a 996
16.7%
N 498
8.3%
o 498
8.3%
e 498
8.3%
b 498
8.3%
i 498
8.3%
v 498
8.3%
A 498
8.3%
t 498
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 996
 
8.8%
a 996
 
8.8%
1 547
 
4.9%
0 510
 
4.5%
N 498
 
4.4%
o 498
 
4.4%
e 498
 
4.4%
b 498
 
4.4%
i 498
 
4.4%
v 498
 
4.4%
Other values (12) 5232
46.4%
Distinct355
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:33:48.025946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length8.899
Min length3

Characters and Unicode

Total characters8899
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)30.6%

Sample

1st row148.1
2nd row148.1
3rd row148.1
4th row148.1
5th row148.1
ValueCountFrequency (%)
not 498
33.2%
available 498
33.2%
148.1 51
 
3.4%
47.6 15
 
1.0%
123.1 14
 
0.9%
262.6 12
 
0.8%
141.4 6
 
0.4%
85.1 5
 
0.3%
257.2 3
 
0.2%
317.1 3
 
0.2%
Other values (346) 393
26.2%
2023-12-09T20:33:48.656165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 996
 
11.2%
l 996
 
11.2%
N 498
 
5.6%
t 498
 
5.6%
498
 
5.6%
A 498
 
5.6%
v 498
 
5.6%
i 498
 
5.6%
b 498
 
5.6%
e 498
 
5.6%
Other values (12) 2923
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4980
56.0%
Decimal Number 1953
 
21.9%
Uppercase Letter 996
 
11.2%
Space Separator 498
 
5.6%
Other Punctuation 472
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 445
22.8%
1 309
15.8%
4 219
11.2%
8 199
10.2%
3 181
9.3%
6 160
 
8.2%
7 156
 
8.0%
5 106
 
5.4%
9 106
 
5.4%
0 72
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 996
20.0%
l 996
20.0%
t 498
10.0%
v 498
10.0%
i 498
10.0%
b 498
10.0%
e 498
10.0%
o 498
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 498
50.0%
A 498
50.0%
Space Separator
ValueCountFrequency (%)
498
100.0%
Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5976
67.2%
Common 2923
32.8%

Most frequent character per script

Common
ValueCountFrequency (%)
498
17.0%
. 472
16.1%
2 445
15.2%
1 309
10.6%
4 219
7.5%
8 199
 
6.8%
3 181
 
6.2%
6 160
 
5.5%
7 156
 
5.3%
5 106
 
3.6%
Other values (2) 178
 
6.1%
Latin
ValueCountFrequency (%)
a 996
16.7%
l 996
16.7%
N 498
8.3%
t 498
8.3%
A 498
8.3%
v 498
8.3%
i 498
8.3%
b 498
8.3%
e 498
8.3%
o 498
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 996
 
11.2%
l 996
 
11.2%
N 498
 
5.6%
t 498
 
5.6%
498
 
5.6%
A 498
 
5.6%
v 498
 
5.6%
i 498
 
5.6%
b 498
 
5.6%
e 498
 
5.6%
Other values (12) 2923
32.8%
Distinct373
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:33:49.159890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.122
Min length1

Characters and Unicode

Total characters9122
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)30.5%

Sample

1st row47.1
2nd row29.2
3rd row6.6
4th row53.8
5th row66.4
ValueCountFrequency (%)
not 550
35.5%
available 550
35.5%
14.7 5
 
0.3%
7.9 4
 
0.3%
37 4
 
0.3%
22.3 4
 
0.3%
28.2 4
 
0.3%
28.5 4
 
0.3%
35.4 4
 
0.3%
6.7 3
 
0.2%
Other values (328) 418
27.0%
2023-12-09T20:33:49.793791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (13) 2522
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5500
60.3%
Decimal Number 1272
 
13.9%
Uppercase Letter 1100
 
12.1%
Space Separator 550
 
6.0%
Other Punctuation 403
 
4.4%
Dash Punctuation 297
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 189
14.9%
2 184
14.5%
3 179
14.1%
4 149
11.7%
5 122
9.6%
7 114
9.0%
8 110
8.6%
6 94
7.4%
9 87
6.8%
0 44
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 1100
20.0%
l 1100
20.0%
t 550
10.0%
v 550
10.0%
i 550
10.0%
b 550
10.0%
e 550
10.0%
o 550
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 550
50.0%
A 550
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6600
72.4%
Common 2522
 
27.6%

Most frequent character per script

Common
ValueCountFrequency (%)
550
21.8%
. 403
16.0%
- 297
11.8%
1 189
 
7.5%
2 184
 
7.3%
3 179
 
7.1%
4 149
 
5.9%
5 122
 
4.8%
7 114
 
4.5%
8 110
 
4.4%
Other values (3) 225
8.9%
Latin
ValueCountFrequency (%)
a 1100
16.7%
l 1100
16.7%
N 550
8.3%
t 550
8.3%
A 550
8.3%
v 550
8.3%
i 550
8.3%
b 550
8.3%
e 550
8.3%
o 550
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1100
12.1%
l 1100
12.1%
N 550
 
6.0%
t 550
 
6.0%
550
 
6.0%
A 550
 
6.0%
v 550
 
6.0%
i 550
 
6.0%
b 550
 
6.0%
e 550
 
6.0%
Other values (13) 2522
27.6%
Distinct713
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:33:50.191918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.38
Min length1

Characters and Unicode

Total characters9380
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique705 ?
Unique (%)70.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row60499692.4
ValueCountFrequency (%)
not 273
 
21.4%
available 273
 
21.4%
0 6
 
0.5%
2406064 6
 
0.5%
7209425 2
 
0.2%
15461427.4 2
 
0.2%
439700 2
 
0.2%
1753299 2
 
0.2%
5129920.8 2
 
0.2%
306980 1
 
0.1%
Other values (704) 704
55.3%
2023-12-09T20:33:50.717111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 636
 
6.8%
0 585
 
6.2%
2 551
 
5.9%
3 550
 
5.9%
a 546
 
5.8%
l 546
 
5.8%
6 545
 
5.8%
. 540
 
5.8%
9 509
 
5.4%
4 508
 
5.4%
Other values (12) 3864
41.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5291
56.4%
Lowercase Letter 2730
29.1%
Uppercase Letter 546
 
5.8%
Other Punctuation 540
 
5.8%
Space Separator 273
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 636
12.0%
0 585
11.1%
2 551
10.4%
3 550
10.4%
6 545
10.3%
9 509
9.6%
4 508
9.6%
7 481
9.1%
5 473
8.9%
8 453
8.6%
Lowercase Letter
ValueCountFrequency (%)
a 546
20.0%
l 546
20.0%
o 273
10.0%
e 273
10.0%
b 273
10.0%
i 273
10.0%
v 273
10.0%
t 273
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 273
50.0%
N 273
50.0%
Other Punctuation
ValueCountFrequency (%)
. 540
100.0%
Space Separator
ValueCountFrequency (%)
273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6104
65.1%
Latin 3276
34.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 636
10.4%
0 585
9.6%
2 551
9.0%
3 550
9.0%
6 545
8.9%
. 540
8.8%
9 509
8.3%
4 508
8.3%
7 481
7.9%
5 473
7.7%
Other values (2) 726
11.9%
Latin
ValueCountFrequency (%)
a 546
16.7%
l 546
16.7%
o 273
8.3%
e 273
8.3%
b 273
8.3%
i 273
8.3%
v 273
8.3%
A 273
8.3%
t 273
8.3%
N 273
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 636
 
6.8%
0 585
 
6.2%
2 551
 
5.9%
3 550
 
5.9%
a 546
 
5.8%
l 546
 
5.8%
6 545
 
5.8%
. 540
 
5.8%
9 509
 
5.4%
4 508
 
5.4%
Other values (12) 3864
41.2%
Distinct109
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:33:51.130429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.227
Min length1

Characters and Unicode

Total characters12227
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)10.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 870
46.5%
available 870
46.5%
0 22
 
1.2%
3910776.9 2
 
0.1%
2309856.7 1
 
0.1%
9025174.6 1
 
0.1%
9435533.1 1
 
0.1%
930387 1
 
0.1%
6471242.9 1
 
0.1%
7598280.1 1
 
0.1%
Other values (100) 100
 
5.3%
2023-12-09T20:33:51.655097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1740
14.2%
l 1740
14.2%
N 870
7.1%
t 870
7.1%
870
7.1%
A 870
7.1%
v 870
7.1%
i 870
7.1%
b 870
7.1%
e 870
7.1%
Other values (12) 1787
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8700
71.2%
Uppercase Letter 1740
 
14.2%
Space Separator 870
 
7.1%
Decimal Number 836
 
6.8%
Other Punctuation 81
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 96
11.5%
0 94
11.2%
9 91
10.9%
3 90
10.8%
6 87
10.4%
5 86
10.3%
4 75
9.0%
8 74
8.9%
2 73
8.7%
7 70
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 1740
20.0%
l 1740
20.0%
t 870
10.0%
v 870
10.0%
i 870
10.0%
b 870
10.0%
e 870
10.0%
o 870
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 870
50.0%
A 870
50.0%
Space Separator
ValueCountFrequency (%)
870
100.0%
Other Punctuation
ValueCountFrequency (%)
. 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10440
85.4%
Common 1787
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
870
48.7%
1 96
 
5.4%
0 94
 
5.3%
9 91
 
5.1%
3 90
 
5.0%
6 87
 
4.9%
5 86
 
4.8%
. 81
 
4.5%
4 75
 
4.2%
8 74
 
4.1%
Other values (2) 143
 
8.0%
Latin
ValueCountFrequency (%)
a 1740
16.7%
l 1740
16.7%
N 870
8.3%
t 870
8.3%
A 870
8.3%
v 870
8.3%
i 870
8.3%
b 870
8.3%
e 870
8.3%
o 870
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1740
14.2%
l 1740
14.2%
N 870
7.1%
t 870
7.1%
870
7.1%
A 870
7.1%
v 870
7.1%
i 870
7.1%
b 870
7.1%
e 870
7.1%
Other values (12) 1787
14.6%
Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:33:52.019711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.601
Min length1

Characters and Unicode

Total characters12601
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)8.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 912
47.7%
available 912
47.7%
0 4
 
0.2%
5891538.2 1
 
0.1%
3586197.9 1
 
0.1%
4548578.9 1
 
0.1%
6005564.2 1
 
0.1%
3817170.3 1
 
0.1%
6810607.8 1
 
0.1%
873897.6 1
 
0.1%
Other values (77) 77
 
4.0%
2023-12-09T20:33:52.506203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1824
14.5%
a 1824
14.5%
o 912
7.2%
e 912
7.2%
b 912
7.2%
i 912
7.2%
N 912
7.2%
v 912
7.2%
A 912
7.2%
912
7.2%
Other values (12) 1657
13.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9120
72.4%
Uppercase Letter 1824
 
14.5%
Space Separator 912
 
7.2%
Decimal Number 673
 
5.3%
Other Punctuation 72
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 77
11.4%
5 73
10.8%
4 71
10.5%
1 69
10.3%
6 68
10.1%
7 67
10.0%
9 65
9.7%
2 62
9.2%
8 62
9.2%
0 59
8.8%
Lowercase Letter
ValueCountFrequency (%)
l 1824
20.0%
a 1824
20.0%
o 912
10.0%
e 912
10.0%
b 912
10.0%
i 912
10.0%
v 912
10.0%
t 912
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 912
50.0%
A 912
50.0%
Space Separator
ValueCountFrequency (%)
912
100.0%
Other Punctuation
ValueCountFrequency (%)
. 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10944
86.9%
Common 1657
 
13.1%

Most frequent character per script

Common
ValueCountFrequency (%)
912
55.0%
3 77
 
4.6%
5 73
 
4.4%
. 72
 
4.3%
4 71
 
4.3%
1 69
 
4.2%
6 68
 
4.1%
7 67
 
4.0%
9 65
 
3.9%
2 62
 
3.7%
Other values (2) 121
 
7.3%
Latin
ValueCountFrequency (%)
l 1824
16.7%
a 1824
16.7%
o 912
8.3%
e 912
8.3%
b 912
8.3%
i 912
8.3%
N 912
8.3%
v 912
8.3%
A 912
8.3%
t 912
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1824
14.5%
a 1824
14.5%
o 912
7.2%
e 912
7.2%
b 912
7.2%
i 912
7.2%
N 912
7.2%
v 912
7.2%
A 912
7.2%
912
7.2%
Other values (12) 1657
13.1%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:33:52.893653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.274
Min length1

Characters and Unicode

Total characters12274
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)9.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 874
46.6%
available 874
46.6%
0 25
 
1.3%
1466207.9 2
 
0.1%
220500 2
 
0.1%
10619102 2
 
0.1%
5645857.8 1
 
0.1%
4531084.4 1
 
0.1%
4749599.8 1
 
0.1%
2650200.1 1
 
0.1%
Other values (91) 91
 
4.9%
2023-12-09T20:33:53.401428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1748
14.2%
l 1748
14.2%
N 874
7.1%
o 874
7.1%
t 874
7.1%
874
7.1%
A 874
7.1%
v 874
7.1%
i 874
7.1%
b 874
7.1%
Other values (12) 1786
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8740
71.2%
Uppercase Letter 1748
 
14.2%
Space Separator 874
 
7.1%
Decimal Number 830
 
6.8%
Other Punctuation 82
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
15.8%
1 98
11.8%
4 90
10.8%
9 85
10.2%
5 82
9.9%
2 79
9.5%
6 75
9.0%
8 66
8.0%
3 64
7.7%
7 60
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1748
20.0%
l 1748
20.0%
o 874
10.0%
t 874
10.0%
v 874
10.0%
i 874
10.0%
b 874
10.0%
e 874
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 874
50.0%
A 874
50.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Other Punctuation
ValueCountFrequency (%)
. 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10488
85.4%
Common 1786
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
874
48.9%
0 131
 
7.3%
1 98
 
5.5%
4 90
 
5.0%
9 85
 
4.8%
. 82
 
4.6%
5 82
 
4.6%
2 79
 
4.4%
6 75
 
4.2%
8 66
 
3.7%
Other values (2) 124
 
6.9%
Latin
ValueCountFrequency (%)
a 1748
16.7%
l 1748
16.7%
N 874
8.3%
o 874
8.3%
t 874
8.3%
A 874
8.3%
v 874
8.3%
i 874
8.3%
b 874
8.3%
e 874
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1748
14.2%
l 1748
14.2%
N 874
7.1%
o 874
7.1%
t 874
7.1%
874
7.1%
A 874
7.1%
v 874
7.1%
i 874
7.1%
b 874
7.1%
Other values (12) 1786
14.6%
Distinct272
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:33:53.782928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.034
Min length1

Characters and Unicode

Total characters12034
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)26.9%

Sample

1st row10833326.3
2nd row18103233.1
3rd row11027204.8
4th row19383324.9
5th row1315992.5
ValueCountFrequency (%)
not 727
42.1%
available 727
42.1%
0 2
 
0.1%
8962481.8 2
 
0.1%
22034827 1
 
0.1%
10554422.8 1
 
0.1%
2907033.1 1
 
0.1%
3457013.1 1
 
0.1%
18438601.9 1
 
0.1%
14530988.3 1
 
0.1%
Other values (263) 263
 
15.2%
2023-12-09T20:33:54.300133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1454
12.1%
l 1454
12.1%
N 727
 
6.0%
o 727
 
6.0%
b 727
 
6.0%
i 727
 
6.0%
e 727
 
6.0%
v 727
 
6.0%
A 727
 
6.0%
727
 
6.0%
Other values (13) 3310
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7270
60.4%
Decimal Number 2345
 
19.5%
Uppercase Letter 1454
 
12.1%
Space Separator 727
 
6.0%
Other Punctuation 236
 
2.0%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 289
12.3%
2 260
11.1%
3 252
10.7%
4 238
10.1%
8 234
10.0%
9 233
9.9%
7 232
9.9%
6 220
9.4%
5 205
8.7%
0 182
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1454
20.0%
l 1454
20.0%
o 727
10.0%
b 727
10.0%
i 727
10.0%
e 727
10.0%
v 727
10.0%
t 727
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 727
50.0%
A 727
50.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Other Punctuation
ValueCountFrequency (%)
. 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8724
72.5%
Common 3310
 
27.5%

Most frequent character per script

Common
ValueCountFrequency (%)
727
22.0%
1 289
 
8.7%
2 260
 
7.9%
3 252
 
7.6%
4 238
 
7.2%
. 236
 
7.1%
8 234
 
7.1%
9 233
 
7.0%
7 232
 
7.0%
6 220
 
6.6%
Other values (3) 389
11.8%
Latin
ValueCountFrequency (%)
a 1454
16.7%
l 1454
16.7%
N 727
8.3%
o 727
8.3%
b 727
8.3%
i 727
8.3%
e 727
8.3%
v 727
8.3%
A 727
8.3%
t 727
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1454
12.1%
l 1454
12.1%
N 727
 
6.0%
o 727
 
6.0%
b 727
 
6.0%
i 727
 
6.0%
e 727
 
6.0%
v 727
 
6.0%
A 727
 
6.0%
727
 
6.0%
Other values (13) 3310
27.5%
Distinct929
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:33:54.682944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.281
Min length5

Characters and Unicode

Total characters9281
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique925 ?
Unique (%)92.5%

Sample

1st row43525083.1
2nd row16502793.1
3rd row24561685.2
4th row18881259.4
5th row104995953.2
ValueCountFrequency (%)
not 69
 
6.5%
available 69
 
6.5%
13084971.8 2
 
0.2%
17902764 2
 
0.2%
19445614 2
 
0.2%
9567973.7 1
 
0.1%
80049659.9 1
 
0.1%
826542.3 1
 
0.1%
18068231.3 1
 
0.1%
2810698.8 1
 
0.1%
Other values (920) 920
86.1%
2023-12-09T20:33:55.183147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1004
10.8%
2 873
9.4%
. 824
8.9%
3 790
8.5%
4 764
8.2%
6 735
7.9%
5 709
7.6%
8 705
7.6%
7 689
7.4%
9 672
7.2%
Other values (12) 1516
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7560
81.5%
Other Punctuation 824
 
8.9%
Lowercase Letter 690
 
7.4%
Uppercase Letter 138
 
1.5%
Space Separator 69
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1004
13.3%
2 873
11.5%
3 790
10.4%
4 764
10.1%
6 735
9.7%
5 709
9.4%
8 705
9.3%
7 689
9.1%
9 672
8.9%
0 619
8.2%
Lowercase Letter
ValueCountFrequency (%)
l 138
20.0%
a 138
20.0%
i 69
10.0%
b 69
10.0%
e 69
10.0%
o 69
10.0%
v 69
10.0%
t 69
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 69
50.0%
N 69
50.0%
Other Punctuation
ValueCountFrequency (%)
. 824
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8453
91.1%
Latin 828
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1004
11.9%
2 873
10.3%
. 824
9.7%
3 790
9.3%
4 764
9.0%
6 735
8.7%
5 709
8.4%
8 705
8.3%
7 689
8.2%
9 672
7.9%
Other values (2) 688
8.1%
Latin
ValueCountFrequency (%)
l 138
16.7%
a 138
16.7%
i 69
8.3%
b 69
8.3%
e 69
8.3%
o 69
8.3%
v 69
8.3%
A 69
8.3%
t 69
8.3%
N 69
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1004
10.8%
2 873
9.4%
. 824
8.9%
3 790
8.5%
4 764
8.2%
6 735
7.9%
5 709
7.6%
8 705
7.6%
7 689
7.4%
9 672
7.2%
Other values (12) 1516
16.3%
Distinct932
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:33:55.537545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.307
Min length5

Characters and Unicode

Total characters9307
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique928 ?
Unique (%)92.8%

Sample

1st row43525075.6
2nd row16502793.1
3rd row24561684.6
4th row18881260.8
5th row104995940.6
ValueCountFrequency (%)
not 66
 
6.2%
available 66
 
6.2%
19445612.4 2
 
0.2%
17902764 2
 
0.2%
13084972.2 2
 
0.2%
1670351.4 1
 
0.1%
10859921.7 1
 
0.1%
826542.3 1
 
0.1%
7536425.6 1
 
0.1%
2810698.8 1
 
0.1%
Other values (923) 923
86.6%
2023-12-09T20:33:56.020432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1009
10.8%
2 847
9.1%
. 846
9.1%
3 790
8.5%
4 784
8.4%
6 744
8.0%
8 724
7.8%
5 720
7.7%
7 690
7.4%
9 675
7.3%
Other values (12) 1478
15.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7603
81.7%
Other Punctuation 846
 
9.1%
Lowercase Letter 660
 
7.1%
Uppercase Letter 132
 
1.4%
Space Separator 66
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1009
13.3%
2 847
11.1%
3 790
10.4%
4 784
10.3%
6 744
9.8%
8 724
9.5%
5 720
9.5%
7 690
9.1%
9 675
8.9%
0 620
8.2%
Lowercase Letter
ValueCountFrequency (%)
l 132
20.0%
a 132
20.0%
i 66
10.0%
b 66
10.0%
e 66
10.0%
o 66
10.0%
v 66
10.0%
t 66
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 66
50.0%
N 66
50.0%
Other Punctuation
ValueCountFrequency (%)
. 846
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8515
91.5%
Latin 792
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1009
11.8%
2 847
9.9%
. 846
9.9%
3 790
9.3%
4 784
9.2%
6 744
8.7%
8 724
8.5%
5 720
8.5%
7 690
8.1%
9 675
7.9%
Other values (2) 686
8.1%
Latin
ValueCountFrequency (%)
l 132
16.7%
a 132
16.7%
i 66
8.3%
b 66
8.3%
e 66
8.3%
o 66
8.3%
v 66
8.3%
A 66
8.3%
t 66
8.3%
N 66
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1009
10.8%
2 847
9.1%
. 846
9.1%
3 790
8.5%
4 784
8.4%
6 744
8.0%
8 724
7.8%
5 720
7.7%
7 690
7.4%
9 675
7.3%
Other values (12) 1478
15.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:33:56.210290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length8

Characters and Unicode

Total characters12986
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
666621.2 1
 
0.1%
209875.5 1
 
0.1%
1341403.9 1
 
0.1%
2023-12-09T20:33:56.513081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (12) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 4
18.2%
2 3
13.6%
1 3
13.6%
0 2
9.1%
9 2
9.1%
5 2
9.1%
3 2
9.1%
4 2
9.1%
8 1
 
4.5%
7 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1022
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.6%
6 4
 
0.4%
2 3
 
0.3%
1 3
 
0.3%
. 3
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
5 2
 
0.2%
3 2
 
0.2%
4 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (12) 1022
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:33:56.686467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length1

Characters and Unicode

Total characters12970
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
16153.3 1
 
0.1%
2023-12-09T20:33:56.979498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
1 2
25.0%
3 2
25.0%
6 1
12.5%
5 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:33:57.155521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length5

Characters and Unicode

Total characters12980
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
393143 1
 
0.1%
195375.5 1
 
0.1%
61511 1
 
0.1%
2023-12-09T20:33:57.475164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 5
27.8%
3 4
22.2%
5 4
22.2%
9 2
 
11.1%
4 1
 
5.6%
7 1
 
5.6%
6 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.1%
1 5
 
0.5%
3 4
 
0.4%
5 4
 
0.4%
9 2
 
0.2%
4 1
 
0.1%
7 1
 
0.1%
. 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1016
7.8%
Distinct668
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T20:33:57.899561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.364
Min length1

Characters and Unicode

Total characters8364
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique659 ?
Unique (%)65.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row604996.9
ValueCountFrequency (%)
not 318
24.1%
available 318
24.1%
24369.7 6
 
0.5%
0 5
 
0.4%
17756.7 2
 
0.2%
52185.8 2
 
0.2%
25 2
 
0.2%
71497.5 2
 
0.2%
154614.3 2
 
0.2%
4397 2
 
0.2%
Other values (659) 659
50.0%
2023-12-09T20:33:58.479494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 636
 
7.6%
l 636
 
7.6%
. 559
 
6.7%
1 498
 
6.0%
2 429
 
5.1%
3 373
 
4.5%
5 369
 
4.4%
4 368
 
4.4%
7 361
 
4.3%
9 356
 
4.3%
Other values (12) 3779
45.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3671
43.9%
Lowercase Letter 3180
38.0%
Uppercase Letter 636
 
7.6%
Other Punctuation 559
 
6.7%
Space Separator 318
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 498
13.6%
2 429
11.7%
3 373
10.2%
5 369
10.1%
4 368
10.0%
7 361
9.8%
9 356
9.7%
6 333
9.1%
8 327
8.9%
0 257
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 636
20.0%
l 636
20.0%
o 318
10.0%
e 318
10.0%
b 318
10.0%
i 318
10.0%
v 318
10.0%
t 318
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 318
50.0%
N 318
50.0%
Other Punctuation
ValueCountFrequency (%)
. 559
100.0%
Space Separator
ValueCountFrequency (%)
318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4548
54.4%
Latin 3816
45.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 559
12.3%
1 498
10.9%
2 429
9.4%
3 373
8.2%
5 369
8.1%
4 368
8.1%
7 361
7.9%
9 356
7.8%
6 333
7.3%
8 327
7.2%
Other values (2) 575
12.6%
Latin
ValueCountFrequency (%)
a 636
16.7%
l 636
16.7%
o 318
8.3%
e 318
8.3%
b 318
8.3%
i 318
8.3%
v 318
8.3%
A 318
8.3%
t 318
8.3%
N 318
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 636
 
7.6%
l 636
 
7.6%
. 559
 
6.7%
1 498
 
6.0%
2 429
 
5.1%
3 373
 
4.5%
5 369
 
4.4%
4 368
 
4.4%
7 361
 
4.3%
9 356
 
4.3%
Other values (12) 3779
45.2%
Distinct892
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:33:58.844639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.931
Min length3

Characters and Unicode

Total characters8931
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique888 ?
Unique (%)88.8%

Sample

1st row12764247.3
2nd row4838693.3
3rd row7315809
4th row5520038.1
5th row30777594.2
ValueCountFrequency (%)
not 106
 
9.6%
available 106
 
9.6%
5250295.6 2
 
0.2%
5699182.8 2
 
0.2%
3840982.4 2
 
0.2%
5200380.4 1
 
0.1%
1075453.9 1
 
0.1%
21664387.3 1
 
0.1%
263003.5 1
 
0.1%
830610.4 1
 
0.1%
Other values (883) 883
79.8%
2023-12-09T20:33:59.349792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 812
9.1%
. 800
9.0%
2 772
8.6%
3 731
 
8.2%
4 695
 
7.8%
5 685
 
7.7%
7 641
 
7.2%
8 637
 
7.1%
6 635
 
7.1%
9 614
 
6.9%
Other values (12) 1909
21.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6753
75.6%
Lowercase Letter 1060
 
11.9%
Other Punctuation 800
 
9.0%
Uppercase Letter 212
 
2.4%
Space Separator 106
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 812
12.0%
2 772
11.4%
3 731
10.8%
4 695
10.3%
5 685
10.1%
7 641
9.5%
8 637
9.4%
6 635
9.4%
9 614
9.1%
0 531
7.9%
Lowercase Letter
ValueCountFrequency (%)
l 212
20.0%
a 212
20.0%
i 106
10.0%
b 106
10.0%
e 106
10.0%
o 106
10.0%
v 106
10.0%
t 106
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 106
50.0%
N 106
50.0%
Other Punctuation
ValueCountFrequency (%)
. 800
100.0%
Space Separator
ValueCountFrequency (%)
106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7659
85.8%
Latin 1272
 
14.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 812
10.6%
. 800
10.4%
2 772
10.1%
3 731
9.5%
4 695
9.1%
5 685
8.9%
7 641
8.4%
8 637
8.3%
6 635
8.3%
9 614
8.0%
Other values (2) 637
8.3%
Latin
ValueCountFrequency (%)
l 212
16.7%
a 212
16.7%
i 106
8.3%
b 106
8.3%
e 106
8.3%
o 106
8.3%
v 106
8.3%
A 106
8.3%
t 106
8.3%
N 106
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 812
9.1%
. 800
9.0%
2 772
8.6%
3 731
 
8.2%
4 695
 
7.8%
5 685
 
7.7%
7 641
 
7.2%
8 637
 
7.1%
6 635
 
7.1%
9 614
 
6.9%
Other values (12) 1909
21.4%
Distinct203
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size155.5 KiB
2023-12-09T20:33:59.631661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length717
Median length650
Mean length102.126
Min length13

Characters and Unicode

Total characters102126
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)17.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
more 1091
 
5.8%
the 1060
 
5.7%
or 957
 
5.1%
in 772
 
4.1%
than 678
 
3.6%
days 677
 
3.6%
for 665
 
3.5%
not 583
 
3.1%
use 556
 
3.0%
one 555
 
3.0%
Other values (397) 11164
59.5%
2023-12-09T20:34:01.138512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17765
17.4%
e 11660
 
11.4%
t 6876
 
6.7%
o 6820
 
6.7%
r 6678
 
6.5%
l 5302
 
5.2%
i 4852
 
4.8%
s 4664
 
4.6%
a 4194
 
4.1%
n 3345
 
3.3%
Other values (67) 29970
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 72702
71.2%
Space Separator 17765
 
17.4%
Uppercase Letter 3775
 
3.7%
Decimal Number 3250
 
3.2%
Math Symbol 2569
 
2.5%
Other Punctuation 1853
 
1.8%
Dash Punctuation 109
 
0.1%
Close Punctuation 48
 
< 0.1%
Open Punctuation 48
 
< 0.1%
Connector Punctuation 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 11660
16.0%
t 6876
9.5%
o 6820
9.4%
r 6678
9.2%
l 5302
 
7.3%
i 4852
 
6.7%
s 4664
 
6.4%
a 4194
 
5.8%
n 3345
 
4.6%
b 3118
 
4.3%
Other values (15) 15193
20.9%
Uppercase Letter
ValueCountFrequency (%)
N 910
24.1%
T 528
14.0%
A 523
13.9%
E 519
13.7%
D 418
11.1%
P 258
 
6.8%
O 104
 
2.8%
G 73
 
1.9%
L 67
 
1.8%
F 65
 
1.7%
Other values (13) 310
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 731
22.5%
2 718
22.1%
0 691
21.3%
6 368
11.3%
5 362
11.1%
4 134
 
4.1%
3 98
 
3.0%
9 73
 
2.2%
7 45
 
1.4%
8 30
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 971
52.4%
/ 647
34.9%
; 163
 
8.8%
# 48
 
2.6%
" 12
 
0.6%
, 6
 
0.3%
: 2
 
0.1%
' 2
 
0.1%
& 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 1284
50.0%
< 1284
50.0%
= 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 46
95.8%
] 2
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 46
95.8%
[ 2
 
4.2%
Space Separator
ValueCountFrequency (%)
17765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 76477
74.9%
Common 25649
 
25.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 11660
15.2%
t 6876
 
9.0%
o 6820
 
8.9%
r 6678
 
8.7%
l 5302
 
6.9%
i 4852
 
6.3%
s 4664
 
6.1%
a 4194
 
5.5%
n 3345
 
4.4%
b 3118
 
4.1%
Other values (38) 18968
24.8%
Common
ValueCountFrequency (%)
17765
69.3%
> 1284
 
5.0%
< 1284
 
5.0%
. 971
 
3.8%
1 731
 
2.9%
2 718
 
2.8%
0 691
 
2.7%
/ 647
 
2.5%
6 368
 
1.4%
5 362
 
1.4%
Other values (19) 828
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17765
17.4%
e 11660
 
11.4%
t 6876
 
6.7%
o 6820
 
6.7%
r 6678
 
6.5%
l 5302
 
5.2%
i 4852
 
4.8%
s 4664
 
4.6%
a 4194
 
4.1%
n 3345
 
3.3%
Other values (67) 29970
29.3%
Distinct166
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size645.8 KiB
2023-12-09T20:34:01.509641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1861
Median length1674
Mean length604.145
Min length13

Characters and Unicode

Total characters604145
Distinct characters75
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)12.9%

Sample

1st rowThe meter <b>Computer -- IT Energy Apply Estimates</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.; One or more of the uses for this property has default values set for its details in the selected timeframe. Enter actual values for these details through the Details tab for this property.; One or more of the values for <i>use details</i> (ex: hours of operation, number of workers) is unusual. For example, it is not typical for an office to have more than 2 computers per person. You may want to review your use details to make sure they're correct. You may have a legitimate reasons for having a use detail outside of our "typical range." If it is legitimate, then you can ignore this alert and/or explain this in the comment field, if applicable.
2nd rowOne or more of the uses for this property has default values set for its details in the selected timeframe. Enter actual values for these details through the Details tab for this property.; One or more of the values for <i>use details</i> (ex: hours of operation, number of workers) is unusual. For example, it is not typical for an office to have more than 2 computers per person. You may want to review your use details to make sure they're correct. You may have a legitimate reasons for having a use detail outside of our "typical range." If it is legitimate, then you can ignore this alert and/or explain this in the comment field, if applicable.; The meter <b>Computer Room -- IT Energy Apply Estimates</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.
3rd rowThe meter <b>Computer Data Center -- IT Energy Apply Estimates</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.
4th rowThe meter <b>Computer Room -- IT Energy Apply Estimates</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.
5th rowOne or more of the uses for this property has default values set for its details in the selected timeframe. Enter actual values for these details through the Details tab for this property.; The meter <b>Data Center -- IT Energy Apply Estimates</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.; One or more of the values for <i>use details</i> (ex: hours of operation, number of workers) is unusual. For example, it is not typical for an office to have more than 2 computers per person. You may want to review your use details to make sure they're correct. You may have a legitimate reasons for having a use detail outside of our "typical range." If it is legitimate, then you can ignore this alert and/or explain this in the comment field, if applicable.
ValueCountFrequency (%)
for 4609
 
4.9%
the 4265
 
4.5%
this 3086
 
3.2%
office 2841
 
3.0%
is 2432
 
2.6%
property 2288
 
2.4%
of 2079
 
2.2%
in 1971
 
2.1%
more 1917
 
2.0%
and 1668
 
1.8%
Other values (406) 67858
71.4%
2023-12-09T20:34:02.052629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94535
15.6%
e 63790
 
10.6%
t 42380
 
7.0%
r 41987
 
6.9%
a 37406
 
6.2%
o 35596
 
5.9%
i 32217
 
5.3%
s 26613
 
4.4%
n 22724
 
3.8%
l 22298
 
3.7%
Other values (65) 184599
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 437866
72.5%
Space Separator 94535
 
15.6%
Uppercase Letter 35946
 
5.9%
Other Punctuation 21391
 
3.5%
Decimal Number 7964
 
1.3%
Math Symbol 2704
 
0.4%
Dash Punctuation 2280
 
0.4%
Open Punctuation 728
 
0.1%
Close Punctuation 728
 
0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 63790
14.6%
t 42380
9.7%
r 41987
9.6%
a 37406
 
8.5%
o 35596
 
8.1%
i 32217
 
7.4%
s 26613
 
6.1%
n 22724
 
5.2%
l 22298
 
5.1%
h 16734
 
3.8%
Other values (15) 96121
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 4925
13.7%
C 3853
10.7%
O 3151
 
8.8%
D 2917
 
8.1%
W 2718
 
7.6%
R 2218
 
6.2%
M 2200
 
6.1%
F 1762
 
4.9%
H 1645
 
4.6%
B 1636
 
4.6%
Other values (13) 8921
24.8%
Other Punctuation
ValueCountFrequency (%)
, 11939
55.8%
. 4710
 
22.0%
/ 2432
 
11.4%
; 685
 
3.2%
% 559
 
2.6%
& 543
 
2.5%
" 248
 
1.2%
: 144
 
0.7%
' 125
 
0.6%
# 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 2928
36.8%
0 2242
28.2%
2 1927
24.2%
5 618
 
7.8%
4 69
 
0.9%
3 61
 
0.8%
9 45
 
0.6%
6 36
 
0.5%
8 19
 
0.2%
7 19
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 1352
50.0%
< 1352
50.0%
Space Separator
ValueCountFrequency (%)
94535
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 728
100.0%
Close Punctuation
ValueCountFrequency (%)
) 728
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 473812
78.4%
Common 130333
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 63790
13.5%
t 42380
 
8.9%
r 41987
 
8.9%
a 37406
 
7.9%
o 35596
 
7.5%
i 32217
 
6.8%
s 26613
 
5.6%
n 22724
 
4.8%
l 22298
 
4.7%
h 16734
 
3.5%
Other values (38) 132067
27.9%
Common
ValueCountFrequency (%)
94535
72.5%
, 11939
 
9.2%
. 4710
 
3.6%
1 2928
 
2.2%
/ 2432
 
1.9%
- 2280
 
1.7%
0 2242
 
1.7%
2 1927
 
1.5%
> 1352
 
1.0%
< 1352
 
1.0%
Other values (17) 4636
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 604145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94535
15.6%
e 63790
 
10.6%
t 42380
 
7.0%
r 41987
 
6.9%
a 37406
 
6.2%
o 35596
 
5.9%
i 32217
 
5.3%
s 26613
 
4.4%
n 22724
 
3.8%
l 22298
 
3.7%
Other values (65) 184599
30.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:34:02.186222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.038
Min length2

Characters and Unicode

Total characters2038
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 992
98.9%
yes 5
 
0.5%
not 3
 
0.3%
available 3
 
0.3%
2023-12-09T20:34:02.423684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 995
48.8%
o 995
48.8%
e 8
 
0.4%
a 6
 
0.3%
l 6
 
0.3%
Y 5
 
0.2%
s 5
 
0.2%
t 3
 
0.1%
3
 
0.1%
A 3
 
0.1%
Other values (3) 9
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1032
50.6%
Uppercase Letter 1003
49.2%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 995
96.4%
e 8
 
0.8%
a 6
 
0.6%
l 6
 
0.6%
s 5
 
0.5%
t 3
 
0.3%
v 3
 
0.3%
i 3
 
0.3%
b 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 995
99.2%
Y 5
 
0.5%
A 3
 
0.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2035
99.9%
Common 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 995
48.9%
o 995
48.9%
e 8
 
0.4%
a 6
 
0.3%
l 6
 
0.3%
Y 5
 
0.2%
s 5
 
0.2%
t 3
 
0.1%
A 3
 
0.1%
v 3
 
0.1%
Other values (2) 6
 
0.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2038
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 995
48.8%
o 995
48.8%
e 8
 
0.4%
a 6
 
0.3%
l 6
 
0.3%
Y 5
 
0.2%
s 5
 
0.2%
t 3
 
0.1%
3
 
0.1%
A 3
 
0.1%
Other values (3) 9
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:34:02.555879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length4.303
Min length2

Characters and Unicode

Total characters4303
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNo
ValueCountFrequency (%)
no 787
65.1%
not 209
 
17.3%
available 209
 
17.3%
yes 4
 
0.3%
2023-12-09T20:34:02.799887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 996
23.1%
o 996
23.1%
a 418
9.7%
l 418
9.7%
e 213
 
5.0%
t 209
 
4.9%
209
 
4.9%
A 209
 
4.9%
v 209
 
4.9%
i 209
 
4.9%
Other values (3) 217
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2885
67.0%
Uppercase Letter 1209
28.1%
Space Separator 209
 
4.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 996
34.5%
a 418
14.5%
l 418
14.5%
e 213
 
7.4%
t 209
 
7.2%
v 209
 
7.2%
i 209
 
7.2%
b 209
 
7.2%
s 4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
82.4%
A 209
 
17.3%
Y 4
 
0.3%
Space Separator
ValueCountFrequency (%)
209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4094
95.1%
Common 209
 
4.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 996
24.3%
o 996
24.3%
a 418
10.2%
l 418
10.2%
e 213
 
5.2%
t 209
 
5.1%
A 209
 
5.1%
v 209
 
5.1%
i 209
 
5.1%
b 209
 
5.1%
Other values (2) 8
 
0.2%
Common
ValueCountFrequency (%)
209
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 996
23.1%
o 996
23.1%
a 418
9.7%
l 418
9.7%
e 213
 
5.0%
t 209
 
4.9%
209
 
4.9%
A 209
 
4.9%
v 209
 
4.9%
i 209
 
4.9%
Other values (3) 217
 
5.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2023-12-09T20:34:02.973293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.955
Min length2

Characters and Unicode

Total characters10955
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 814
44.9%
available 814
44.9%
no 185
 
10.2%
yes 1
 
0.1%
2023-12-09T20:34:03.254137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1628
14.9%
l 1628
14.9%
N 999
9.1%
o 999
9.1%
e 815
7.4%
t 814
7.4%
814
7.4%
A 814
7.4%
v 814
7.4%
i 814
7.4%
Other values (3) 816
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8327
76.0%
Uppercase Letter 1814
 
16.6%
Space Separator 814
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1628
19.6%
l 1628
19.6%
o 999
12.0%
e 815
9.8%
t 814
9.8%
v 814
9.8%
i 814
9.8%
b 814
9.8%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
55.1%
A 814
44.9%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10141
92.6%
Common 814
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1628
16.1%
l 1628
16.1%
N 999
9.9%
o 999
9.9%
e 815
8.0%
t 814
8.0%
A 814
8.0%
v 814
8.0%
i 814
8.0%
b 814
8.0%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
814
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1628
14.9%
l 1628
14.9%
N 999
9.1%
o 999
9.1%
e 815
7.4%
t 814
7.4%
814
7.4%
A 814
7.4%
v 814
7.4%
i 814
7.4%
Other values (3) 816
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:34:03.426067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.758
Min length2

Characters and Unicode

Total characters11758
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 887
47.0%
available 887
47.0%
no 112
 
5.9%
yes 1
 
0.1%
2023-12-09T20:34:03.706632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1774
15.1%
l 1774
15.1%
N 999
8.5%
o 999
8.5%
e 888
7.6%
t 887
7.5%
887
7.5%
A 887
7.5%
v 887
7.5%
i 887
7.5%
Other values (3) 889
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8984
76.4%
Uppercase Letter 1887
 
16.0%
Space Separator 887
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1774
19.7%
l 1774
19.7%
o 999
11.1%
e 888
9.9%
t 887
9.9%
v 887
9.9%
i 887
9.9%
b 887
9.9%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
52.9%
A 887
47.0%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10871
92.5%
Common 887
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1774
16.3%
l 1774
16.3%
N 999
9.2%
o 999
9.2%
e 888
8.2%
t 887
8.2%
A 887
8.2%
v 887
8.2%
i 887
8.2%
b 887
8.2%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
887
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1774
15.1%
l 1774
15.1%
N 999
8.5%
o 999
8.5%
e 888
7.6%
t 887
7.5%
887
7.5%
A 887
7.5%
v 887
7.5%
i 887
7.5%
Other values (3) 889
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:34:03.874731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.757
Min length2

Characters and Unicode

Total characters10757
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 796
44.3%
available 796
44.3%
no 203
 
11.3%
yes 1
 
0.1%
2023-12-09T20:34:04.155189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1592
14.8%
l 1592
14.8%
N 999
9.3%
o 999
9.3%
e 797
7.4%
t 796
7.4%
796
7.4%
A 796
7.4%
v 796
7.4%
i 796
7.4%
Other values (3) 798
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8165
75.9%
Uppercase Letter 1796
 
16.7%
Space Separator 796
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1592
19.5%
l 1592
19.5%
o 999
12.2%
e 797
9.8%
t 796
9.7%
v 796
9.7%
i 796
9.7%
b 796
9.7%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
55.6%
A 796
44.3%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
796
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9961
92.6%
Common 796
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1592
16.0%
l 1592
16.0%
N 999
10.0%
o 999
10.0%
e 797
8.0%
t 796
8.0%
A 796
8.0%
v 796
8.0%
i 796
8.0%
b 796
8.0%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
796
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10757
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1592
14.8%
l 1592
14.8%
N 999
9.3%
o 999
9.3%
e 797
7.4%
t 796
7.4%
796
7.4%
A 796
7.4%
v 796
7.4%
i 796
7.4%
Other values (3) 798
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:34:04.324737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.901
Min length2

Characters and Unicode

Total characters9901
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 718
41.8%
available 718
41.8%
no 279
 
16.2%
yes 3
 
0.2%
2023-12-09T20:34:04.612103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1436
14.5%
l 1436
14.5%
N 997
10.1%
o 997
10.1%
e 721
7.3%
t 718
7.3%
718
7.3%
A 718
7.3%
v 718
7.3%
i 718
7.3%
Other values (3) 724
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7465
75.4%
Uppercase Letter 1718
 
17.4%
Space Separator 718
 
7.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1436
19.2%
l 1436
19.2%
o 997
13.4%
e 721
9.7%
t 718
9.6%
v 718
9.6%
i 718
9.6%
b 718
9.6%
s 3
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
58.0%
A 718
41.8%
Y 3
 
0.2%
Space Separator
ValueCountFrequency (%)
718
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9183
92.7%
Common 718
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1436
15.6%
l 1436
15.6%
N 997
10.9%
o 997
10.9%
e 721
7.9%
t 718
7.8%
A 718
7.8%
v 718
7.8%
i 718
7.8%
b 718
7.8%
Other values (2) 6
 
0.1%
Common
ValueCountFrequency (%)
718
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1436
14.5%
l 1436
14.5%
N 997
10.1%
o 997
10.1%
e 721
7.3%
t 718
7.3%
718
7.3%
A 718
7.3%
v 718
7.3%
i 718
7.3%
Other values (3) 724
7.3%
Distinct881
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T20:34:05.023566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.144
Min length1

Characters and Unicode

Total characters6144
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique864 ?
Unique (%)86.4%

Sample

1st row4500.4
2nd row2945.5
3rd row2974.7
4th row3252.4
5th row11869.9
ValueCountFrequency (%)
not 104
 
9.4%
available 104
 
9.4%
4610.5 2
 
0.2%
830.2 2
 
0.2%
442.3 2
 
0.2%
1839.2 2
 
0.2%
630.8 2
 
0.2%
485.1 2
 
0.2%
325.4 2
 
0.2%
1881.4 2
 
0.2%
Other values (872) 880
79.7%
2023-12-09T20:34:05.587405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 822
13.4%
1 547
 
8.9%
3 479
 
7.8%
2 465
 
7.6%
4 420
 
6.8%
5 402
 
6.5%
6 379
 
6.2%
8 373
 
6.1%
7 350
 
5.7%
9 333
 
5.4%
Other values (12) 1574
25.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3970
64.6%
Lowercase Letter 1040
 
16.9%
Other Punctuation 822
 
13.4%
Uppercase Letter 208
 
3.4%
Space Separator 104
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 547
13.8%
3 479
12.1%
2 465
11.7%
4 420
10.6%
5 402
10.1%
6 379
9.5%
8 373
9.4%
7 350
8.8%
9 333
8.4%
0 222
5.6%
Lowercase Letter
ValueCountFrequency (%)
l 208
20.0%
a 208
20.0%
i 104
10.0%
b 104
10.0%
e 104
10.0%
o 104
10.0%
v 104
10.0%
t 104
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 104
50.0%
N 104
50.0%
Other Punctuation
ValueCountFrequency (%)
. 822
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4896
79.7%
Latin 1248
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 822
16.8%
1 547
11.2%
3 479
9.8%
2 465
9.5%
4 420
8.6%
5 402
8.2%
6 379
7.7%
8 373
7.6%
7 350
7.1%
9 333
6.8%
Other values (2) 326
 
6.7%
Latin
ValueCountFrequency (%)
l 208
16.7%
a 208
16.7%
i 104
8.3%
b 104
8.3%
e 104
8.3%
o 104
8.3%
v 104
8.3%
A 104
8.3%
t 104
8.3%
N 104
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 822
13.4%
1 547
 
8.9%
3 479
 
7.8%
2 465
 
7.6%
4 420
 
6.8%
5 402
 
6.5%
6 379
 
6.2%
8 373
 
6.1%
7 350
 
5.7%
9 333
 
5.4%
Other values (12) 1574
25.6%
Distinct697
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:34:06.070945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length4.596
Min length1

Characters and Unicode

Total characters4596
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)66.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row3210.8
ValueCountFrequency (%)
0 194
 
18.1%
available 71
 
6.6%
not 71
 
6.6%
127.7 6
 
0.6%
99.8 3
 
0.3%
1.5 3
 
0.3%
144.1 3
 
0.3%
335.8 2
 
0.2%
38 2
 
0.2%
47.2 2
 
0.2%
Other values (688) 714
66.7%
2023-12-09T20:34:06.673880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 667
14.5%
1 394
 
8.6%
2 379
 
8.2%
0 353
 
7.7%
3 346
 
7.5%
4 297
 
6.5%
7 270
 
5.9%
5 265
 
5.8%
8 238
 
5.2%
9 235
 
5.1%
Other values (12) 1152
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3006
65.4%
Lowercase Letter 710
 
15.4%
Other Punctuation 667
 
14.5%
Uppercase Letter 142
 
3.1%
Space Separator 71
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 394
13.1%
2 379
12.6%
0 353
11.7%
3 346
11.5%
4 297
9.9%
7 270
9.0%
5 265
8.8%
8 238
7.9%
9 235
7.8%
6 229
7.6%
Lowercase Letter
ValueCountFrequency (%)
l 142
20.0%
a 142
20.0%
b 71
10.0%
i 71
10.0%
v 71
10.0%
t 71
10.0%
o 71
10.0%
e 71
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 71
50.0%
A 71
50.0%
Other Punctuation
ValueCountFrequency (%)
. 667
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3744
81.5%
Latin 852
 
18.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 667
17.8%
1 394
10.5%
2 379
10.1%
0 353
9.4%
3 346
9.2%
4 297
7.9%
7 270
7.2%
5 265
 
7.1%
8 238
 
6.4%
9 235
 
6.3%
Other values (2) 300
8.0%
Latin
ValueCountFrequency (%)
l 142
16.7%
a 142
16.7%
N 71
8.3%
b 71
8.3%
i 71
8.3%
v 71
8.3%
A 71
8.3%
t 71
8.3%
o 71
8.3%
e 71
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 667
14.5%
1 394
 
8.6%
2 379
 
8.2%
0 353
 
7.7%
3 346
 
7.5%
4 297
 
6.5%
7 270
 
5.9%
5 265
 
5.8%
8 238
 
5.2%
9 235
 
5.1%
Other values (12) 1152
25.1%
Distinct888
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:34:07.209405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.539
Min length1

Characters and Unicode

Total characters5539
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique848 ?
Unique (%)84.8%

Sample

1st row4500.4
2nd row2945.5
3rd row2974.7
4th row3252.4
5th row8659.1
ValueCountFrequency (%)
not 67
 
6.3%
available 67
 
6.3%
85.8 4
 
0.4%
0 4
 
0.4%
89.2 3
 
0.3%
59.1 3
 
0.3%
11.9 3
 
0.3%
99.8 2
 
0.2%
103.3 2
 
0.2%
853.1 2
 
0.2%
Other values (879) 910
85.3%
2023-12-09T20:34:07.884912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 837
15.1%
1 644
11.6%
2 452
8.2%
3 403
 
7.3%
5 397
 
7.2%
4 358
 
6.5%
6 354
 
6.4%
8 350
 
6.3%
7 346
 
6.2%
9 293
 
5.3%
Other values (13) 1105
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3829
69.1%
Other Punctuation 837
 
15.1%
Lowercase Letter 670
 
12.1%
Uppercase Letter 134
 
2.4%
Space Separator 67
 
1.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 644
16.8%
2 452
11.8%
3 403
10.5%
5 397
10.4%
4 358
9.3%
6 354
9.2%
8 350
9.1%
7 346
9.0%
9 293
7.7%
0 232
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 134
20.0%
l 134
20.0%
o 67
10.0%
e 67
10.0%
b 67
10.0%
i 67
10.0%
v 67
10.0%
t 67
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 67
50.0%
A 67
50.0%
Other Punctuation
ValueCountFrequency (%)
. 837
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4735
85.5%
Latin 804
 
14.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 837
17.7%
1 644
13.6%
2 452
9.5%
3 403
8.5%
5 397
8.4%
4 358
7.6%
6 354
7.5%
8 350
7.4%
7 346
7.3%
9 293
 
6.2%
Other values (3) 301
 
6.4%
Latin
ValueCountFrequency (%)
a 134
16.7%
l 134
16.7%
N 67
8.3%
o 67
8.3%
e 67
8.3%
b 67
8.3%
i 67
8.3%
v 67
8.3%
A 67
8.3%
t 67
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 837
15.1%
1 644
11.6%
2 452
8.2%
3 403
 
7.3%
5 397
 
7.2%
4 358
 
6.5%
6 354
 
6.4%
8 350
 
6.3%
7 346
 
6.2%
9 293
 
5.3%
Other values (13) 1105
19.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2023-12-09T20:34:08.082919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.995
Min length4

Characters and Unicode

Total characters10995
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row81.36108496
2nd row81.36108496
3rd row81.36108496
4th row81.36108496
5th row81.36108496
ValueCountFrequency (%)
81.36108496 994
99.3%
179.9748629 3
 
0.3%
not 1
 
0.1%
available 1
 
0.1%
81.4 1
 
0.1%
159.0674539 1
 
0.1%
2023-12-09T20:34:08.378853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1993
18.1%
8 1992
18.1%
6 1992
18.1%
9 1005
9.1%
. 999
9.1%
4 999
9.1%
3 995
9.0%
0 995
9.0%
7 7
 
0.1%
2 3
 
< 0.1%
Other values (12) 15
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9983
90.8%
Other Punctuation 999
 
9.1%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1993
20.0%
8 1992
20.0%
6 1992
20.0%
9 1005
10.1%
4 999
10.0%
3 995
10.0%
0 995
10.0%
7 7
 
0.1%
2 3
 
< 0.1%
5 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
v 1
10.0%
t 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
o 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 999
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10983
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1993
18.1%
8 1992
18.1%
6 1992
18.1%
9 1005
9.2%
. 999
9.1%
4 999
9.1%
3 995
9.1%
0 995
9.1%
7 7
 
0.1%
2 3
 
< 0.1%
Other values (2) 3
 
< 0.1%
Latin
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
A 1
8.3%
v 1
8.3%
t 1
8.3%
i 1
8.3%
N 1
8.3%
b 1
8.3%
e 1
8.3%
o 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1993
18.1%
8 1992
18.1%
6 1992
18.1%
9 1005
9.1%
. 999
9.1%
4 999
9.1%
3 995
9.0%
0 995
9.0%
7 7
 
0.1%
2 3
 
< 0.1%
Other values (12) 15
 
0.1%
Distinct882
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:34:08.847591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.654
Min length1

Characters and Unicode

Total characters5654
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique865 ?
Unique (%)86.5%

Sample

1st row4500.4
2nd row2945.5
3rd row2974.7
4th row3252.4
5th row11869.9
ValueCountFrequency (%)
not 63
 
5.9%
available 63
 
5.9%
0 42
 
4.0%
4610.5 2
 
0.2%
630.8 2
 
0.2%
354.4 2
 
0.2%
427.1 2
 
0.2%
325.4 2
 
0.2%
830.2 2
 
0.2%
442.3 2
 
0.2%
Other values (873) 881
82.9%
2023-12-09T20:34:09.468563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 823
14.6%
1 547
9.7%
3 478
8.5%
2 462
8.2%
4 419
 
7.4%
5 403
 
7.1%
6 378
 
6.7%
8 373
 
6.6%
7 351
 
6.2%
9 334
 
5.9%
Other values (13) 1086
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4010
70.9%
Other Punctuation 823
 
14.6%
Lowercase Letter 630
 
11.1%
Uppercase Letter 126
 
2.2%
Space Separator 63
 
1.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 547
13.6%
3 478
11.9%
2 462
11.5%
4 419
10.4%
5 403
10.0%
6 378
9.4%
8 373
9.3%
7 351
8.8%
9 334
8.3%
0 265
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 126
20.0%
l 126
20.0%
o 63
10.0%
e 63
10.0%
b 63
10.0%
i 63
10.0%
v 63
10.0%
t 63
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 63
50.0%
A 63
50.0%
Other Punctuation
ValueCountFrequency (%)
. 823
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4898
86.6%
Latin 756
 
13.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 823
16.8%
1 547
11.2%
3 478
9.8%
2 462
9.4%
4 419
8.6%
5 403
8.2%
6 378
7.7%
8 373
7.6%
7 351
7.2%
9 334
6.8%
Other values (3) 330
6.7%
Latin
ValueCountFrequency (%)
a 126
16.7%
l 126
16.7%
N 63
8.3%
o 63
8.3%
e 63
8.3%
b 63
8.3%
i 63
8.3%
v 63
8.3%
A 63
8.3%
t 63
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 823
14.6%
1 547
9.7%
3 478
8.5%
2 462
8.2%
4 419
 
7.4%
5 403
 
7.1%
6 378
 
6.7%
8 373
 
6.6%
7 351
 
6.2%
9 334
 
5.9%
Other values (13) 1086
19.2%
Distinct444
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T20:34:09.918992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.713
Min length3

Characters and Unicode

Total characters9713
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)43.8%

Sample

1st row3059.6
2nd row2277.4
3rd row2789.2
4th row2114.1
5th row7135.9
ValueCountFrequency (%)
not 552
35.6%
available 552
35.6%
376.9 2
 
0.1%
4641.4 2
 
0.1%
1171.5 2
 
0.1%
1529.3 2
 
0.1%
1175.3 2
 
0.1%
1139.7 1
 
0.1%
5469.8 1
 
0.1%
551.4 1
 
0.1%
Other values (435) 435
28.0%
2023-12-09T20:34:10.489988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1104
 
11.4%
l 1104
 
11.4%
N 552
 
5.7%
t 552
 
5.7%
552
 
5.7%
A 552
 
5.7%
v 552
 
5.7%
i 552
 
5.7%
b 552
 
5.7%
e 552
 
5.7%
Other values (12) 3089
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5520
56.8%
Decimal Number 2133
 
22.0%
Uppercase Letter 1104
 
11.4%
Space Separator 552
 
5.7%
Other Punctuation 404
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 305
14.3%
2 249
11.7%
5 223
10.5%
4 222
10.4%
3 217
10.2%
6 214
10.0%
7 202
9.5%
9 185
8.7%
8 185
8.7%
0 131
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1104
20.0%
l 1104
20.0%
t 552
10.0%
v 552
10.0%
i 552
10.0%
b 552
10.0%
e 552
10.0%
o 552
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 552
50.0%
A 552
50.0%
Space Separator
ValueCountFrequency (%)
552
100.0%
Other Punctuation
ValueCountFrequency (%)
. 404
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6624
68.2%
Common 3089
31.8%

Most frequent character per script

Common
ValueCountFrequency (%)
552
17.9%
. 404
13.1%
1 305
9.9%
2 249
8.1%
5 223
7.2%
4 222
7.2%
3 217
 
7.0%
6 214
 
6.9%
7 202
 
6.5%
9 185
 
6.0%
Other values (2) 316
10.2%
Latin
ValueCountFrequency (%)
a 1104
16.7%
l 1104
16.7%
N 552
8.3%
t 552
8.3%
A 552
8.3%
v 552
8.3%
i 552
8.3%
b 552
8.3%
e 552
8.3%
o 552
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1104
 
11.4%
l 1104
 
11.4%
N 552
 
5.7%
t 552
 
5.7%
552
 
5.7%
A 552
 
5.7%
v 552
 
5.7%
i 552
 
5.7%
b 552
 
5.7%
e 552
 
5.7%
Other values (12) 3089
31.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.6 KiB
2023-12-09T20:34:10.640335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.809
Min length1

Characters and Unicode

Total characters1809
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 931
87.3%
not 66
 
6.2%
available 66
 
6.2%
8022600 1
 
0.1%
730470 1
 
0.1%
60477.8 1
 
0.1%
2023-12-09T20:34:10.889531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 937
51.8%
a 132
 
7.3%
l 132
 
7.3%
t 66
 
3.6%
66
 
3.6%
A 66
 
3.6%
v 66
 
3.6%
o 66
 
3.6%
i 66
 
3.6%
N 66
 
3.6%
Other values (9) 146
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 950
52.5%
Lowercase Letter 660
36.5%
Uppercase Letter 132
 
7.3%
Space Separator 66
 
3.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 132
20.0%
l 132
20.0%
t 66
10.0%
v 66
10.0%
o 66
10.0%
i 66
10.0%
b 66
10.0%
e 66
10.0%
Decimal Number
ValueCountFrequency (%)
0 937
98.6%
7 4
 
0.4%
8 2
 
0.2%
2 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
3 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 66
50.0%
N 66
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1017
56.2%
Latin 792
43.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 132
16.7%
l 132
16.7%
t 66
8.3%
A 66
8.3%
v 66
8.3%
o 66
8.3%
i 66
8.3%
N 66
8.3%
b 66
8.3%
e 66
8.3%
Common
ValueCountFrequency (%)
0 937
92.1%
66
 
6.5%
7 4
 
0.4%
8 2
 
0.2%
2 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
3 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 937
51.8%
a 132
 
7.3%
l 132
 
7.3%
t 66
 
3.6%
66
 
3.6%
A 66
 
3.6%
v 66
 
3.6%
o 66
 
3.6%
i 66
 
3.6%
N 66
 
3.6%
Other values (9) 146
 
8.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:11.062312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length1

Characters and Unicode

Total characters12975
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
195375.5 1
 
0.1%
61511 1
 
0.1%
0 1
 
0.1%
2023-12-09T20:34:11.354910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 13
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
5 4
30.8%
9 1
 
7.7%
3 1
 
7.7%
7 1
 
7.7%
6 1
 
7.7%
0 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1011
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.6%
1 4
 
0.4%
5 4
 
0.4%
9 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
. 1
 
0.1%
6 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1011
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size57.6 KiB
2023-12-09T20:34:11.481629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.818
Min length1

Characters and Unicode

Total characters1818
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 929
87.1%
not 66
 
6.2%
available 66
 
6.2%
100 2
 
0.2%
7.529607 1
 
0.1%
35.39295 1
 
0.1%
0.2614961 1
 
0.1%
2023-12-09T20:34:11.726959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 935
51.4%
a 132
 
7.3%
l 132
 
7.3%
e 66
 
3.6%
N 66
 
3.6%
i 66
 
3.6%
b 66
 
3.6%
v 66
 
3.6%
A 66
 
3.6%
66
 
3.6%
Other values (11) 157
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
52.6%
Lowercase Letter 660
36.3%
Uppercase Letter 132
 
7.3%
Space Separator 66
 
3.6%
Other Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 935
97.7%
1 4
 
0.4%
9 4
 
0.4%
5 3
 
0.3%
2 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 132
20.0%
l 132
20.0%
e 66
10.0%
i 66
10.0%
b 66
10.0%
v 66
10.0%
t 66
10.0%
o 66
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 66
50.0%
A 66
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1026
56.4%
Latin 792
43.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 935
91.1%
66
 
6.4%
1 4
 
0.4%
9 4
 
0.4%
. 3
 
0.3%
5 3
 
0.3%
2 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
a 132
16.7%
l 132
16.7%
e 66
8.3%
N 66
8.3%
i 66
8.3%
b 66
8.3%
v 66
8.3%
A 66
8.3%
t 66
8.3%
o 66
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 935
51.4%
a 132
 
7.3%
l 132
 
7.3%
e 66
 
3.6%
N 66
 
3.6%
i 66
 
3.6%
b 66
 
3.6%
v 66
 
3.6%
A 66
 
3.6%
66
 
3.6%
Other values (11) 157
 
8.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:11.901968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length1

Characters and Unicode

Total characters12968
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 2
 
0.1%
0 1
 
0.1%
2023-12-09T20:34:12.190644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 5
71.4%
1 2
 
28.6%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
0 5
 
0.5%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1004
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:12.367285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length8

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
35.39295 1
 
0.1%
32.43211 1
 
0.1%
0.2614961 1
 
0.1%
2023-12-09T20:34:12.658850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
3 4
18.2%
2 4
18.2%
1 4
18.2%
9 3
13.6%
5 2
9.1%
4 2
9.1%
6 2
9.1%
0 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.6%
3 4
 
0.4%
2 4
 
0.4%
1 4
 
0.4%
. 3
 
0.3%
9 3
 
0.3%
5 2
 
0.2%
4 2
 
0.2%
6 2
 
0.2%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1022
7.9%
Distinct63
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:34:12.950594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.538
Min length3

Characters and Unicode

Total characters12538
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)6.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 937
48.4%
available 937
48.4%
1817.8 2
 
0.1%
6396.2 1
 
0.1%
47409.9 1
 
0.1%
3795.9 1
 
0.1%
11764.8 1
 
0.1%
23183 1
 
0.1%
2748.3 1
 
0.1%
2499.8 1
 
0.1%
Other values (54) 54
 
2.8%
2023-12-09T20:34:13.365247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1874
14.9%
l 1874
14.9%
N 937
7.5%
t 937
7.5%
937
7.5%
A 937
7.5%
v 937
7.5%
i 937
7.5%
b 937
7.5%
e 937
7.5%
Other values (12) 1294
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9370
74.7%
Uppercase Letter 1874
 
14.9%
Space Separator 937
 
7.5%
Decimal Number 302
 
2.4%
Other Punctuation 55
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
15.6%
3 36
11.9%
4 35
11.6%
2 34
11.3%
7 31
10.3%
8 30
9.9%
5 26
8.6%
6 23
7.6%
9 23
7.6%
0 17
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1874
20.0%
l 1874
20.0%
t 937
10.0%
v 937
10.0%
i 937
10.0%
b 937
10.0%
e 937
10.0%
o 937
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 937
50.0%
A 937
50.0%
Space Separator
ValueCountFrequency (%)
937
100.0%
Other Punctuation
ValueCountFrequency (%)
. 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11244
89.7%
Common 1294
 
10.3%

Most frequent character per script

Common
ValueCountFrequency (%)
937
72.4%
. 55
 
4.3%
1 47
 
3.6%
3 36
 
2.8%
4 35
 
2.7%
2 34
 
2.6%
7 31
 
2.4%
8 30
 
2.3%
5 26
 
2.0%
6 23
 
1.8%
Other values (2) 40
 
3.1%
Latin
ValueCountFrequency (%)
a 1874
16.7%
l 1874
16.7%
N 937
8.3%
t 937
8.3%
A 937
8.3%
v 937
8.3%
i 937
8.3%
b 937
8.3%
e 937
8.3%
o 937
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1874
14.9%
l 1874
14.9%
N 937
7.5%
t 937
7.5%
937
7.5%
A 937
7.5%
v 937
7.5%
i 937
7.5%
b 937
7.5%
e 937
7.5%
Other values (12) 1294
10.3%
Distinct324
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:34:13.838309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.233
Min length1

Characters and Unicode

Total characters10233
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)31.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 663
39.9%
available 663
39.9%
0 4
 
0.2%
56.16 2
 
0.1%
45.45 2
 
0.1%
34.58 2
 
0.1%
17.96 2
 
0.1%
15.12 2
 
0.1%
15.17 2
 
0.1%
40.52 2
 
0.1%
Other values (315) 319
19.2%
2023-12-09T20:34:14.452056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1326
13.0%
l 1326
13.0%
N 663
 
6.5%
o 663
 
6.5%
e 663
 
6.5%
i 663
 
6.5%
b 663
 
6.5%
v 663
 
6.5%
A 663
 
6.5%
663
 
6.5%
Other values (12) 2277
22.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6630
64.8%
Uppercase Letter 1326
 
13.0%
Decimal Number 1286
 
12.6%
Space Separator 663
 
6.5%
Other Punctuation 328
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 198
15.4%
2 163
12.7%
3 150
11.7%
4 130
10.1%
5 127
9.9%
7 116
9.0%
6 108
8.4%
8 101
7.9%
9 101
7.9%
0 92
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1326
20.0%
l 1326
20.0%
o 663
10.0%
e 663
10.0%
i 663
10.0%
b 663
10.0%
v 663
10.0%
t 663
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 663
50.0%
A 663
50.0%
Space Separator
ValueCountFrequency (%)
663
100.0%
Other Punctuation
ValueCountFrequency (%)
. 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7956
77.7%
Common 2277
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
663
29.1%
. 328
14.4%
1 198
 
8.7%
2 163
 
7.2%
3 150
 
6.6%
4 130
 
5.7%
5 127
 
5.6%
7 116
 
5.1%
6 108
 
4.7%
8 101
 
4.4%
Other values (2) 193
 
8.5%
Latin
ValueCountFrequency (%)
a 1326
16.7%
l 1326
16.7%
N 663
8.3%
o 663
8.3%
e 663
8.3%
i 663
8.3%
b 663
8.3%
v 663
8.3%
A 663
8.3%
t 663
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1326
13.0%
l 1326
13.0%
N 663
 
6.5%
o 663
 
6.5%
e 663
 
6.5%
i 663
 
6.5%
b 663
 
6.5%
v 663
 
6.5%
A 663
 
6.5%
663
 
6.5%
Other values (12) 2277
22.3%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:14.674312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length1

Characters and Unicode

Total characters12888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
6657 1
 
0.1%
4130 1
 
0.1%
4106.6 1
 
0.1%
0 1
 
0.1%
34445.1 1
 
0.1%
3692.3 1
 
0.1%
6638.1 1
 
0.1%
10330.1 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:15.000595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1068
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.4%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 72
 
0.6%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
19.4%
3 11
15.3%
6 11
15.3%
4 10
13.9%
9 10
13.9%
0 7
9.7%
2 3
 
4.2%
5 3
 
4.2%
7 2
 
2.8%
8 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
o 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.7%
Common 1068
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.2%
1 14
 
1.3%
3 11
 
1.0%
6 11
 
1.0%
. 11
 
1.0%
4 10
 
0.9%
9 10
 
0.9%
0 7
 
0.7%
2 3
 
0.3%
5 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
o 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1068
8.3%
Distinct274
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size138.1 KiB
2023-12-09T20:34:15.237555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length241
Median length176
Mean length84.247
Min length13

Characters and Unicode

Total characters84247
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)26.0%

Sample

1st rowThis property does not have at least one meter for the type of energy or water used in this metric calculation.
2nd rowThe meter <b>Water</b> does not have 12 full months of bills for the selected timeframe. Please enter bills for the full 12 months.
3rd rowThis property does not have at least one meter for the type of energy or water used in this metric calculation.
4th rowThis property does not have at least one meter for the type of energy or water used in this metric calculation.
5th rowThis property does not have at least one meter for the type of energy or water used in this metric calculation.
ValueCountFrequency (%)
the 1405
 
9.6%
for 998
 
6.8%
not 985
 
6.7%
bills 809
 
5.5%
full 790
 
5.4%
12 790
 
5.4%
months 790
 
5.4%
meter 600
 
4.1%
of 600
 
4.1%
have 586
 
4.0%
Other values (399) 6256
42.8%
2023-12-09T20:34:15.631304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13615
16.2%
e 10147
 
12.0%
t 6645
 
7.9%
l 5472
 
6.5%
o 4871
 
5.8%
r 3998
 
4.7%
s 3889
 
4.6%
a 3509
 
4.2%
h 3235
 
3.8%
f 2793
 
3.3%
Other values (63) 26073
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 60542
71.9%
Space Separator 13615
 
16.2%
Decimal Number 4345
 
5.2%
Uppercase Letter 2367
 
2.8%
Math Symbol 1577
 
1.9%
Other Punctuation 1440
 
1.7%
Dash Punctuation 325
 
0.4%
Open Punctuation 18
 
< 0.1%
Close Punctuation 18
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10147
16.8%
t 6645
11.0%
l 5472
9.0%
o 4871
 
8.0%
r 3998
 
6.6%
s 3889
 
6.4%
a 3509
 
5.8%
h 3235
 
5.3%
f 2793
 
4.6%
i 2675
 
4.4%
Other values (14) 13308
22.0%
Uppercase Letter
ValueCountFrequency (%)
T 601
25.4%
A 448
18.9%
P 411
17.4%
N 402
17.0%
W 190
 
8.0%
M 124
 
5.2%
E 38
 
1.6%
B 18
 
0.8%
V 17
 
0.7%
O 16
 
0.7%
Other values (13) 102
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 1235
28.4%
0 1088
25.0%
2 979
22.5%
4 171
 
3.9%
9 169
 
3.9%
8 163
 
3.8%
3 151
 
3.5%
6 134
 
3.1%
5 133
 
3.1%
7 122
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 1011
70.2%
/ 396
 
27.5%
# 14
 
1.0%
, 9
 
0.6%
: 7
 
0.5%
& 2
 
0.1%
@ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 788
50.0%
< 788
50.0%
+ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
[ 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 17
94.4%
] 1
 
5.6%
Space Separator
ValueCountFrequency (%)
13615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 325
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 62909
74.7%
Common 21338
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10147
16.1%
t 6645
10.6%
l 5472
 
8.7%
o 4871
 
7.7%
r 3998
 
6.4%
s 3889
 
6.2%
a 3509
 
5.6%
h 3235
 
5.1%
f 2793
 
4.4%
i 2675
 
4.3%
Other values (37) 15675
24.9%
Common
ValueCountFrequency (%)
13615
63.8%
1 1235
 
5.8%
0 1088
 
5.1%
. 1011
 
4.7%
2 979
 
4.6%
> 788
 
3.7%
< 788
 
3.7%
/ 396
 
1.9%
- 325
 
1.5%
4 171
 
0.8%
Other values (16) 942
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13615
16.2%
e 10147
 
12.0%
t 6645
 
7.9%
l 5472
 
6.5%
o 4871
 
5.8%
r 3998
 
4.7%
s 3889
 
4.6%
a 3509
 
4.2%
h 3235
 
3.8%
f 2793
 
3.3%
Other values (63) 26073
30.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:15.801764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:16.074494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct772
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2023-12-09T20:34:16.402096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.486
Min length6

Characters and Unicode

Total characters10486
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique769 ?
Unique (%)76.9%

Sample

1st row149338286.2
2nd row73237465.7
3rd row91515029.2
4th row81832757.1
5th row394849205.9
ValueCountFrequency (%)
not 227
 
18.5%
available 227
 
18.5%
52145725.8 2
 
0.2%
63757236.3 2
 
0.2%
11845733.7 1
 
0.1%
6461440.5 1
 
0.1%
60722202.1 1
 
0.1%
597728000.6 1
 
0.1%
203469956.9 1
 
0.1%
28213506.3 1
 
0.1%
Other values (763) 763
62.2%
2023-12-09T20:34:16.871712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 870
 
8.3%
2 749
 
7.1%
3 727
 
6.9%
5 698
 
6.7%
6 688
 
6.6%
. 685
 
6.5%
4 668
 
6.4%
7 647
 
6.2%
9 617
 
5.9%
8 598
 
5.7%
Other values (12) 3539
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6850
65.3%
Lowercase Letter 2270
 
21.6%
Other Punctuation 685
 
6.5%
Uppercase Letter 454
 
4.3%
Space Separator 227
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 870
12.7%
2 749
10.9%
3 727
10.6%
5 698
10.2%
6 688
10.0%
4 668
9.8%
7 647
9.4%
9 617
9.0%
8 598
8.7%
0 588
8.6%
Lowercase Letter
ValueCountFrequency (%)
l 454
20.0%
a 454
20.0%
b 227
10.0%
e 227
10.0%
o 227
10.0%
i 227
10.0%
v 227
10.0%
t 227
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 227
50.0%
N 227
50.0%
Other Punctuation
ValueCountFrequency (%)
. 685
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7762
74.0%
Latin 2724
 
26.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 870
11.2%
2 749
9.6%
3 727
9.4%
5 698
9.0%
6 688
8.9%
. 685
8.8%
4 668
8.6%
7 647
8.3%
9 617
7.9%
8 598
7.7%
Other values (2) 815
10.5%
Latin
ValueCountFrequency (%)
l 454
16.7%
a 454
16.7%
b 227
8.3%
e 227
8.3%
o 227
8.3%
i 227
8.3%
v 227
8.3%
A 227
8.3%
t 227
8.3%
N 227
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 870
 
8.3%
2 749
 
7.1%
3 727
 
6.9%
5 698
 
6.7%
6 688
 
6.6%
. 685
 
6.5%
4 668
 
6.4%
7 647
 
6.2%
9 617
 
5.9%
8 598
 
5.7%
Other values (12) 3539
33.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:17.050901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:17.327695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:17.492537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:17.763035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:17.927207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:18.205287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:18.369776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:18.643934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:18.833432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.908
Min length4

Characters and Unicode

Total characters12908
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
12211 1
 
0.1%
7388 1
 
0.1%
2877 1
 
0.1%
14675 1
 
0.1%
7125 1
 
0.1%
15365 1
 
0.1%
2600 1
 
0.1%
10180 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:34:19.144395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1040
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.6%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
19.6%
0 9
17.6%
2 6
11.8%
7 5
9.8%
3 5
9.8%
8 5
9.8%
6 5
9.8%
5 4
 
7.8%
4 1
 
2.0%
9 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
91.9%
Common 1040
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
989
95.1%
1 10
 
1.0%
0 9
 
0.9%
2 6
 
0.6%
7 5
 
0.5%
3 5
 
0.5%
8 5
 
0.5%
6 5
 
0.5%
5 4
 
0.4%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1040
8.1%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:19.329760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length1

Characters and Unicode

Total characters12880
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
15 3
 
0.2%
16 2
 
0.1%
8.25 1
 
0.1%
11 1
 
0.1%
5 1
 
0.1%
23 1
 
0.1%
19 1
 
0.1%
55 1
 
0.1%
2023-12-09T20:34:19.634984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1012
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.8%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
e 989
10.0%
o 989
10.0%
i 989
10.0%
b 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
5 7
31.8%
6 2
 
9.1%
2 2
 
9.1%
8 1
 
4.5%
3 1
 
4.5%
9 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1012
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
e 989
8.3%
o 989
8.3%
i 989
8.3%
b 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
97.7%
1 8
 
0.8%
5 7
 
0.7%
6 2
 
0.2%
2 2
 
0.2%
8 1
 
0.1%
. 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1012
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:19.804340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:20.144479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:20.327760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:20.605130image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:20.771836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:21.049900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:21.264145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.866
Min length5

Characters and Unicode

Total characters12866
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
135314 1
 
0.1%
151000 1
 
0.1%
628399 1
 
0.1%
1472657 1
 
0.1%
14347 1
 
0.1%
59000 1
 
0.1%
127145 1
 
0.1%
108124 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:34:21.612747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1082
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.3%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.6%
Decimal Number 100
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
20.0%
5 13
13.0%
0 12
12.0%
2 12
12.0%
8 9
9.0%
4 9
9.0%
3 8
 
8.0%
7 8
 
8.0%
9 5
 
5.0%
6 4
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
o 982
10.0%
b 982
10.0%
i 982
10.0%
e 982
10.0%
v 982
10.0%
t 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
91.6%
Common 1082
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
982
90.8%
1 20
 
1.8%
5 13
 
1.2%
0 12
 
1.1%
2 12
 
1.1%
8 9
 
0.8%
4 9
 
0.8%
3 8
 
0.7%
7 8
 
0.7%
9 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
o 982
8.3%
b 982
8.3%
i 982
8.3%
e 982
8.3%
v 982
8.3%
A 982
8.3%
t 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1082
8.4%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:21.804474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.899
Min length1

Characters and Unicode

Total characters12899
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
250 2
 
0.1%
240 1
 
0.1%
75 1
 
0.1%
1000 1
 
0.1%
5 1
 
0.1%
2000 1
 
0.1%
400 1
 
0.1%
275 1
 
0.1%
2023-12-09T20:34:22.108072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1980
15.4%
a 1980
15.4%
e 990
7.7%
b 990
7.7%
o 990
7.7%
i 990
7.7%
N 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (7) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.8%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 29
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1980
20.0%
a 1980
20.0%
e 990
10.0%
b 990
10.0%
o 990
10.0%
i 990
10.0%
v 990
10.0%
t 990
10.0%
Decimal Number
ValueCountFrequency (%)
0 12
41.4%
2 6
20.7%
5 5
17.2%
4 2
 
6.9%
7 2
 
6.9%
1 2
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.1%
Common 1019
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1980
16.7%
a 1980
16.7%
e 990
8.3%
b 990
8.3%
o 990
8.3%
i 990
8.3%
N 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%
Common
ValueCountFrequency (%)
990
97.2%
0 12
 
1.2%
2 6
 
0.6%
5 5
 
0.5%
4 2
 
0.2%
7 2
 
0.2%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1980
15.4%
a 1980
15.4%
e 990
7.7%
b 990
7.7%
o 990
7.7%
i 990
7.7%
N 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (7) 1019
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:22.280630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:22.559261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:22.735953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.962
Min length3

Characters and Unicode

Total characters12962
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
375 1
 
0.1%
1811 1
 
0.1%
613 1
 
0.1%
7231 1
 
0.1%
2023-12-09T20:34:23.024961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (8) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
3 3
21.4%
7 2
 
14.3%
5 1
 
7.1%
8 1
 
7.1%
6 1
 
7.1%
2 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.6%
1 5
 
0.5%
3 3
 
0.3%
7 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (8) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:23.195856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:23.474191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:23.641026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:23.916391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:24.089546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length7

Characters and Unicode

Total characters12994
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1468508 1
 
0.1%
2023-12-09T20:34:24.393441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
1 1
14.3%
4 1
14.3%
6 1
14.3%
5 1
14.3%
0 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.3%
8 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1006
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:24.563208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:24.843300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:25.010165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:25.294017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:25.557292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.824
Min length1

Characters and Unicode

Total characters12824
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 962
49.0%
available 962
49.0%
13920471.5 1
 
0.1%
5176745.4 1
 
0.1%
11128363.6 1
 
0.1%
5108632.5 1
 
0.1%
1404725.3 1
 
0.1%
448473.3 1
 
0.1%
1409720 1
 
0.1%
208882.8 1
 
0.1%
Other values (30) 30
 
1.5%
2023-12-09T20:34:25.954058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1924
15.0%
a 1924
15.0%
o 962
7.5%
e 962
7.5%
b 962
7.5%
i 962
7.5%
N 962
7.5%
v 962
7.5%
A 962
7.5%
962
7.5%
Other values (12) 1280
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9620
75.0%
Uppercase Letter 1924
 
15.0%
Space Separator 962
 
7.5%
Decimal Number 287
 
2.2%
Other Punctuation 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
13.2%
4 37
12.9%
1 37
12.9%
0 33
11.5%
5 28
9.8%
3 26
9.1%
6 24
8.4%
7 24
8.4%
8 23
8.0%
9 17
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 1924
20.0%
a 1924
20.0%
o 962
10.0%
e 962
10.0%
b 962
10.0%
i 962
10.0%
v 962
10.0%
t 962
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 962
50.0%
A 962
50.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11544
90.0%
Common 1280
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
962
75.2%
2 38
 
3.0%
4 37
 
2.9%
1 37
 
2.9%
0 33
 
2.6%
. 31
 
2.4%
5 28
 
2.2%
3 26
 
2.0%
6 24
 
1.9%
7 24
 
1.9%
Other values (2) 40
 
3.1%
Latin
ValueCountFrequency (%)
l 1924
16.7%
a 1924
16.7%
o 962
8.3%
e 962
8.3%
b 962
8.3%
i 962
8.3%
N 962
8.3%
v 962
8.3%
A 962
8.3%
t 962
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1924
15.0%
a 1924
15.0%
o 962
7.5%
e 962
7.5%
b 962
7.5%
i 962
7.5%
N 962
7.5%
v 962
7.5%
A 962
7.5%
962
7.5%
Other values (12) 1280
10.0%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:26.228818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.861
Min length1

Characters and Unicode

Total characters12861
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 962
49.0%
available 962
49.0%
15018242.7 1
 
0.1%
20986193.2 1
 
0.1%
11467604.9 1
 
0.1%
42560099.2 1
 
0.1%
5803308 1
 
0.1%
18058130.5 1
 
0.1%
4804799.4 1
 
0.1%
55461993.7 1
 
0.1%
Other values (30) 30
 
1.5%
2023-12-09T20:34:26.628938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1924
15.0%
l 1924
15.0%
N 962
7.5%
t 962
7.5%
962
7.5%
A 962
7.5%
v 962
7.5%
i 962
7.5%
b 962
7.5%
e 962
7.5%
Other values (12) 1317
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9620
74.8%
Uppercase Letter 1924
 
15.0%
Space Separator 962
 
7.5%
Decimal Number 324
 
2.5%
Other Punctuation 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 41
12.7%
2 40
12.3%
1 38
11.7%
9 36
11.1%
0 33
10.2%
5 33
10.2%
8 29
9.0%
4 28
8.6%
7 24
7.4%
6 22
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1924
20.0%
l 1924
20.0%
t 962
10.0%
v 962
10.0%
i 962
10.0%
b 962
10.0%
e 962
10.0%
o 962
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 962
50.0%
A 962
50.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11544
89.8%
Common 1317
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
962
73.0%
3 41
 
3.1%
2 40
 
3.0%
1 38
 
2.9%
9 36
 
2.7%
0 33
 
2.5%
5 33
 
2.5%
. 31
 
2.4%
8 29
 
2.2%
4 28
 
2.1%
Other values (2) 46
 
3.5%
Latin
ValueCountFrequency (%)
a 1924
16.7%
l 1924
16.7%
N 962
8.3%
t 962
8.3%
A 962
8.3%
v 962
8.3%
i 962
8.3%
b 962
8.3%
e 962
8.3%
o 962
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1924
15.0%
l 1924
15.0%
N 962
7.5%
t 962
7.5%
962
7.5%
A 962
7.5%
v 962
7.5%
i 962
7.5%
b 962
7.5%
e 962
7.5%
Other values (12) 1317
10.2%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:26.810560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:27.089673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:27.259379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:27.536339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:27.715801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length13
Mean length12.854
Min length1

Characters and Unicode

Total characters12854
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
48.5%
available 974
48.5%
n+1 24
 
1.2%
15
 
0.7%
n 8
 
0.4%
none 3
 
0.1%
of 3
 
0.1%
the 3
 
0.1%
above 3
 
0.1%
2n 1
 
< 0.1%
2023-12-09T20:34:28.037099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 1011
7.9%
1009
7.8%
e 983
7.6%
o 983
7.6%
b 977
7.6%
v 977
7.6%
A 977
7.6%
t 977
7.6%
Other values (8) 1064
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9776
76.1%
Uppercase Letter 1988
 
15.5%
Space Separator 1009
 
7.8%
Other Punctuation 30
 
0.2%
Decimal Number 26
 
0.2%
Math Symbol 25
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
19.9%
l 1948
19.9%
e 983
10.1%
o 983
10.1%
b 977
10.0%
v 977
10.0%
t 977
10.0%
i 974
10.0%
n 3
 
< 0.1%
f 3
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1011
50.9%
A 977
49.1%
Decimal Number
ValueCountFrequency (%)
1 24
92.3%
2 2
 
7.7%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11764
91.5%
Common 1090
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.6%
l 1948
16.6%
N 1011
8.6%
e 983
8.4%
o 983
8.4%
b 977
8.3%
v 977
8.3%
A 977
8.3%
t 977
8.3%
i 974
8.3%
Other values (3) 9
 
0.1%
Common
ValueCountFrequency (%)
1009
92.6%
, 30
 
2.8%
+ 25
 
2.3%
1 24
 
2.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 1011
7.9%
1009
7.8%
e 983
7.6%
o 983
7.6%
b 977
7.6%
v 977
7.6%
A 977
7.6%
t 977
7.6%
Other values (8) 1064
8.3%
Distinct72
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:34:28.343166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.371
Min length1

Characters and Unicode

Total characters12371
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st row24763
2nd row3434
3rd row5608
4th row2158
5th row27862
ValueCountFrequency (%)
not 926
48.1%
available 926
48.1%
1100 2
 
0.1%
10000 2
 
0.1%
2378 2
 
0.1%
5303 1
 
0.1%
7000 1
 
0.1%
111835 1
 
0.1%
90000 1
 
0.1%
6320 1
 
0.1%
Other values (63) 63
 
3.3%
2023-12-09T20:34:28.778508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1852
15.0%
l 1852
15.0%
N 926
7.5%
o 926
7.5%
b 926
7.5%
i 926
7.5%
e 926
7.5%
v 926
7.5%
A 926
7.5%
926
7.5%
Other values (11) 1259
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9260
74.9%
Uppercase Letter 1852
 
15.0%
Space Separator 926
 
7.5%
Decimal Number 333
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
24.0%
1 42
12.6%
2 33
9.9%
5 32
 
9.6%
3 30
 
9.0%
8 28
 
8.4%
4 28
 
8.4%
7 22
 
6.6%
6 21
 
6.3%
9 17
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1852
20.0%
l 1852
20.0%
o 926
10.0%
b 926
10.0%
i 926
10.0%
e 926
10.0%
v 926
10.0%
t 926
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 926
50.0%
A 926
50.0%
Space Separator
ValueCountFrequency (%)
926
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11112
89.8%
Common 1259
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
926
73.6%
0 80
 
6.4%
1 42
 
3.3%
2 33
 
2.6%
5 32
 
2.5%
3 30
 
2.4%
8 28
 
2.2%
4 28
 
2.2%
7 22
 
1.7%
6 21
 
1.7%
Latin
ValueCountFrequency (%)
a 1852
16.7%
l 1852
16.7%
N 926
8.3%
o 926
8.3%
b 926
8.3%
i 926
8.3%
e 926
8.3%
v 926
8.3%
A 926
8.3%
t 926
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1852
15.0%
l 1852
15.0%
N 926
7.5%
o 926
7.5%
b 926
7.5%
i 926
7.5%
e 926
7.5%
v 926
7.5%
A 926
7.5%
926
7.5%
Other values (11) 1259
10.2%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size75.0 KiB
2023-12-09T20:34:28.999297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length673
Median length13
Mean length19.67
Min length13

Characters and Unicode

Total characters19670
Distinct characters38
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowUninterruptible Power Supply (UPS) supports only IT Equipment (preferred)
2nd rowUninterruptible Power Supply (UPS) supports only IT Equipment (preferred)
3rd rowUninterruptible Power Supply (UPS) supports only IT Equipment (preferred)
4th rowUninterruptible Power Supply (UPS) supports only IT Equipment (preferred)
5th rowUninterruptible Power Supply (UPS) supports only IT Equipment (preferred)
ValueCountFrequency (%)
not 927
33.2%
available 926
33.2%
ups 104
 
3.7%
only 102
 
3.7%
preferred 102
 
3.7%
it 102
 
3.7%
equipment 102
 
3.7%
supports 102
 
3.7%
supply 102
 
3.7%
power 102
 
3.7%
Other values (9) 120
 
4.3%
2023-12-09T20:34:29.344439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2164
 
11.0%
a 1860
 
9.5%
1791
 
9.1%
e 1650
 
8.4%
t 1341
 
6.8%
o 1239
 
6.3%
i 1236
 
6.3%
b 1030
 
5.2%
v 926
 
4.7%
A 926
 
4.7%
Other values (28) 5507
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14649
74.5%
Uppercase Letter 2780
 
14.1%
Space Separator 1791
 
9.1%
Close Punctuation 204
 
1.0%
Open Punctuation 204
 
1.0%
Other Punctuation 34
 
0.2%
Dash Punctuation 4
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2164
14.8%
a 1860
12.7%
e 1650
11.3%
t 1341
9.2%
o 1239
8.5%
i 1236
8.4%
b 1030
7.0%
v 926
6.3%
r 720
 
4.9%
p 714
 
4.9%
Other values (12) 1769
12.1%
Uppercase Letter
ValueCountFrequency (%)
A 926
33.3%
N 926
33.3%
U 206
 
7.4%
P 206
 
7.4%
S 206
 
7.4%
I 104
 
3.7%
T 104
 
3.7%
E 102
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 32
94.1%
% 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
1791
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17429
88.6%
Common 2241
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2164
12.4%
a 1860
10.7%
e 1650
 
9.5%
t 1341
 
7.7%
o 1239
 
7.1%
i 1236
 
7.1%
b 1030
 
5.9%
v 926
 
5.3%
A 926
 
5.3%
N 926
 
5.3%
Other values (20) 4131
23.7%
Common
ValueCountFrequency (%)
1791
79.9%
) 204
 
9.1%
( 204
 
9.1%
, 32
 
1.4%
- 4
 
0.2%
1 2
 
0.1%
0 2
 
0.1%
% 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2164
 
11.0%
a 1860
 
9.5%
1791
 
9.1%
e 1650
 
8.4%
t 1341
 
6.8%
o 1239
 
6.3%
i 1236
 
6.3%
b 1030
 
5.2%
v 926
 
4.7%
A 926
 
4.7%
Other values (28) 5507
28.0%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:29.533008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length13
Mean length12.861
Min length1

Characters and Unicode

Total characters12861
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
48.4%
available 974
48.4%
n+1 20
 
1.0%
15
 
0.7%
n 10
 
0.5%
none 3
 
0.1%
of 3
 
0.1%
the 3
 
0.1%
above 3
 
0.1%
2n 3
 
0.1%
Other values (3) 3
 
0.1%
2023-12-09T20:34:29.863297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.2%
l 1948
15.1%
N 1011
7.9%
1011
7.9%
e 985
7.7%
o 983
7.6%
t 979
7.6%
v 977
7.6%
A 977
7.6%
b 977
7.6%
Other values (10) 1063
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9786
76.1%
Uppercase Letter 1989
 
15.5%
Space Separator 1011
 
7.9%
Other Punctuation 30
 
0.2%
Decimal Number 24
 
0.2%
Math Symbol 21
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1950
19.9%
l 1948
19.9%
e 985
10.1%
o 983
10.0%
t 979
10.0%
v 977
10.0%
b 977
10.0%
i 974
10.0%
n 4
 
< 0.1%
h 4
 
< 0.1%
Other values (2) 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1011
50.8%
A 977
49.1%
G 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 20
83.3%
2 4
 
16.7%
Space Separator
ValueCountFrequency (%)
1011
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11775
91.6%
Common 1086
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1950
16.6%
l 1948
16.5%
N 1011
8.6%
e 985
8.4%
o 983
8.3%
t 979
8.3%
v 977
8.3%
A 977
8.3%
b 977
8.3%
i 974
8.3%
Other values (5) 14
 
0.1%
Common
ValueCountFrequency (%)
1011
93.1%
, 30
 
2.8%
+ 21
 
1.9%
1 20
 
1.8%
2 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.2%
l 1948
15.1%
N 1011
7.9%
1011
7.9%
e 985
7.7%
o 983
7.6%
t 979
7.6%
v 977
7.6%
A 977
7.6%
b 977
7.6%
Other values (10) 1063
8.3%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:30.040690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length5

Characters and Unicode

Total characters12964
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
130000 1
 
0.1%
200000 1
 
0.1%
207000 1
 
0.1%
220000 1
 
0.1%
68000 1
 
0.1%
2023-12-09T20:34:30.353403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 29
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 20
69.0%
2 4
 
13.8%
1 1
 
3.4%
3 1
 
3.4%
7 1
 
3.4%
6 1
 
3.4%
8 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1024
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.2%
0 20
 
2.0%
2 4
 
0.4%
1 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1024
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:30.524778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:30.810853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:30.979080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:31.262076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:31.445666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.929
Min length4

Characters and Unicode

Total characters12929
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
10671 1
 
0.1%
4200 1
 
0.1%
2272 1
 
0.1%
2696 1
 
0.1%
5200 1
 
0.1%
5478 1
 
0.1%
5559 1
 
0.1%
1835 1
 
0.1%
2023-12-09T20:34:31.739379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 33
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
18.2%
5 6
18.2%
0 5
15.2%
1 3
9.1%
6 3
9.1%
7 3
9.1%
4 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
3 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1025
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
992
96.8%
2 6
 
0.6%
5 6
 
0.6%
0 5
 
0.5%
1 3
 
0.3%
6 3
 
0.3%
7 3
 
0.3%
4 2
 
0.2%
9 2
 
0.2%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1025
7.9%
Distinct69
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:34:32.045682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.43
Min length4

Characters and Unicode

Total characters12430
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)6.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd row345688
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 931
48.2%
available 931
48.2%
4000 2
 
0.1%
378759 1
 
0.1%
3784 1
 
0.1%
1625 1
 
0.1%
5484 1
 
0.1%
251895 1
 
0.1%
14409 1
 
0.1%
125783 1
 
0.1%
Other values (60) 60
 
3.1%
2023-12-09T20:34:32.473012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1862
15.0%
l 1862
15.0%
N 931
7.5%
o 931
7.5%
b 931
7.5%
i 931
7.5%
e 931
7.5%
v 931
7.5%
A 931
7.5%
931
7.5%
Other values (11) 1258
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9310
74.9%
Uppercase Letter 1862
 
15.0%
Space Separator 931
 
7.5%
Decimal Number 327
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
17.7%
1 47
14.4%
3 31
9.5%
6 29
8.9%
9 29
8.9%
2 29
8.9%
4 28
8.6%
7 28
8.6%
5 28
8.6%
8 20
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1862
20.0%
l 1862
20.0%
o 931
10.0%
b 931
10.0%
i 931
10.0%
e 931
10.0%
v 931
10.0%
t 931
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 931
50.0%
A 931
50.0%
Space Separator
ValueCountFrequency (%)
931
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11172
89.9%
Common 1258
 
10.1%

Most frequent character per script

Common
ValueCountFrequency (%)
931
74.0%
0 58
 
4.6%
1 47
 
3.7%
3 31
 
2.5%
6 29
 
2.3%
9 29
 
2.3%
2 29
 
2.3%
4 28
 
2.2%
7 28
 
2.2%
5 28
 
2.2%
Latin
ValueCountFrequency (%)
a 1862
16.7%
l 1862
16.7%
N 931
8.3%
o 931
8.3%
b 931
8.3%
i 931
8.3%
e 931
8.3%
v 931
8.3%
A 931
8.3%
t 931
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1862
15.0%
l 1862
15.0%
N 931
7.5%
o 931
7.5%
b 931
7.5%
i 931
7.5%
e 931
7.5%
v 931
7.5%
A 931
7.5%
931
7.5%
Other values (11) 1258
10.1%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:34:32.722484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.279
Min length1

Characters and Unicode

Total characters12279
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row600
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 931
48.2%
available 931
48.2%
10 7
 
0.4%
15 5
 
0.3%
20 4
 
0.2%
25 3
 
0.2%
12 3
 
0.2%
8 3
 
0.2%
17 3
 
0.2%
350 2
 
0.1%
Other values (34) 39
 
2.0%
2023-12-09T20:34:33.080406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
o 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
Other values (12) 1107
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9310
75.8%
Uppercase Letter 1862
 
15.2%
Space Separator 931
 
7.6%
Decimal Number 169
 
1.4%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
19.5%
0 29
17.2%
5 19
11.2%
3 19
11.2%
2 18
10.7%
7 14
8.3%
6 11
 
6.5%
4 10
 
5.9%
8 9
 
5.3%
9 7
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1862
20.0%
l 1862
20.0%
o 931
10.0%
t 931
10.0%
v 931
10.0%
i 931
10.0%
b 931
10.0%
e 931
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 931
50.0%
A 931
50.0%
Space Separator
ValueCountFrequency (%)
931
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11172
91.0%
Common 1107
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
931
84.1%
1 33
 
3.0%
0 29
 
2.6%
5 19
 
1.7%
3 19
 
1.7%
2 18
 
1.6%
7 14
 
1.3%
6 11
 
1.0%
4 10
 
0.9%
8 9
 
0.8%
Other values (2) 14
 
1.3%
Latin
ValueCountFrequency (%)
a 1862
16.7%
l 1862
16.7%
N 931
8.3%
o 931
8.3%
t 931
8.3%
A 931
8.3%
v 931
8.3%
i 931
8.3%
b 931
8.3%
e 931
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
o 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
Other values (12) 1107
9.0%
Distinct42
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:34:33.321976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.282
Min length1

Characters and Unicode

Total characters12282
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd row600
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 931
48.2%
available 931
48.2%
10 9
 
0.5%
30 5
 
0.3%
20 4
 
0.2%
15 4
 
0.2%
25 3
 
0.2%
12 3
 
0.2%
7 3
 
0.2%
300 2
 
0.1%
Other values (33) 36
 
1.9%
2023-12-09T20:34:33.676265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
e 931
7.6%
Other values (12) 1110
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9310
75.8%
Uppercase Letter 1862
 
15.2%
Space Separator 931
 
7.6%
Decimal Number 170
 
1.4%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
22.4%
1 34
20.0%
2 21
12.4%
3 18
10.6%
5 15
 
8.8%
4 11
 
6.5%
7 10
 
5.9%
9 8
 
4.7%
6 8
 
4.7%
8 7
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1862
20.0%
l 1862
20.0%
t 931
10.0%
v 931
10.0%
i 931
10.0%
b 931
10.0%
e 931
10.0%
o 931
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 931
50.0%
A 931
50.0%
Space Separator
ValueCountFrequency (%)
931
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11172
91.0%
Common 1110
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
931
83.9%
0 38
 
3.4%
1 34
 
3.1%
2 21
 
1.9%
3 18
 
1.6%
5 15
 
1.4%
4 11
 
1.0%
7 10
 
0.9%
. 9
 
0.8%
9 8
 
0.7%
Other values (2) 15
 
1.4%
Latin
ValueCountFrequency (%)
a 1862
16.7%
l 1862
16.7%
N 931
8.3%
t 931
8.3%
A 931
8.3%
v 931
8.3%
i 931
8.3%
b 931
8.3%
e 931
8.3%
o 931
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
e 931
7.6%
Other values (12) 1110
9.0%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:34:33.886823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.26
Min length2

Characters and Unicode

Total characters12260
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd row84
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 931
48.2%
available 931
48.2%
65 11
 
0.6%
50 10
 
0.5%
60 8
 
0.4%
55 8
 
0.4%
45 5
 
0.3%
70 4
 
0.2%
40 3
 
0.2%
52 2
 
0.1%
Other values (17) 18
 
0.9%
2023-12-09T20:34:34.213813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
e 931
7.6%
Other values (12) 1088
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9310
75.9%
Uppercase Letter 1862
 
15.2%
Space Separator 931
 
7.6%
Decimal Number 150
 
1.2%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 56
37.3%
0 30
20.0%
6 25
16.7%
4 11
 
7.3%
8 8
 
5.3%
7 6
 
4.0%
3 6
 
4.0%
2 4
 
2.7%
1 2
 
1.3%
9 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1862
20.0%
l 1862
20.0%
t 931
10.0%
v 931
10.0%
i 931
10.0%
b 931
10.0%
e 931
10.0%
o 931
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 931
50.0%
A 931
50.0%
Space Separator
ValueCountFrequency (%)
931
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11172
91.1%
Common 1088
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
931
85.6%
5 56
 
5.1%
0 30
 
2.8%
6 25
 
2.3%
4 11
 
1.0%
8 8
 
0.7%
. 7
 
0.6%
7 6
 
0.6%
3 6
 
0.6%
2 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1862
16.7%
l 1862
16.7%
N 931
8.3%
t 931
8.3%
A 931
8.3%
v 931
8.3%
i 931
8.3%
b 931
8.3%
e 931
8.3%
o 931
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1862
15.2%
l 1862
15.2%
N 931
7.6%
t 931
7.6%
931
7.6%
A 931
7.6%
v 931
7.6%
i 931
7.6%
b 931
7.6%
e 931
7.6%
Other values (12) 1088
8.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:34.387765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
17500 1
 
0.1%
2023-12-09T20:34:34.692149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 1
20.0%
7 1
20.0%
5 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
0 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:34.860605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1300 1
 
0.1%
1600 1
 
0.1%
2023-12-09T20:34:36.437842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 2
25.0%
3 1
 
12.5%
6 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
0 4
 
0.4%
1 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:36.619037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.939
Min length4

Characters and Unicode

Total characters12939
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
1440 1
 
0.1%
13528 1
 
0.1%
7350 1
 
0.1%
2700 1
 
0.1%
4400 1
 
0.1%
1510 1
 
0.1%
16244 1
 
0.1%
2023-12-09T20:34:36.922427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1023
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 30
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
23.3%
4 6
20.0%
1 5
16.7%
5 3
10.0%
2 3
10.0%
3 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1023
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
97.1%
0 7
 
0.7%
4 6
 
0.6%
1 5
 
0.5%
5 3
 
0.3%
2 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1023
7.9%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:37.138540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.877
Min length2

Characters and Unicode

Total characters12877
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
450 1
 
0.1%
324.48 1
 
0.1%
8224 1
 
0.1%
7099 1
 
0.1%
2412.75 1
 
0.1%
675.05 1
 
0.1%
800 1
 
0.1%
13 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:37.488605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1057
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 65
 
0.5%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10
15.4%
9 9
13.8%
5 9
13.8%
0 8
12.3%
4 8
12.3%
3 7
10.8%
1 5
7.7%
7 4
 
6.2%
8 3
 
4.6%
6 2
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
o 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.8%
Common 1057
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
93.2%
2 10
 
0.9%
9 9
 
0.9%
5 9
 
0.9%
0 8
 
0.8%
4 8
 
0.8%
3 7
 
0.7%
. 7
 
0.7%
1 5
 
0.5%
7 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
o 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1057
8.2%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:37.679902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.878
Min length3

Characters and Unicode

Total characters12878
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
2.6 8
 
0.4%
6.01317 1
 
0.1%
3.82286 1
 
0.1%
3.18554 1
 
0.1%
2.55711 1
 
0.1%
2.66772 1
 
0.1%
2.61963 1
 
0.1%
2.11458 1
 
0.1%
2023-12-09T20:34:37.977401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1058
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 58
 
0.5%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
25.9%
6 14
24.1%
1 8
13.8%
5 5
 
8.6%
3 4
 
6.9%
7 4
 
6.9%
8 4
 
6.9%
4 2
 
3.4%
0 1
 
1.7%
9 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
o 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.8%
Common 1058
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
93.1%
. 15
 
1.4%
2 15
 
1.4%
6 14
 
1.3%
1 8
 
0.8%
5 5
 
0.5%
3 4
 
0.4%
7 4
 
0.4%
8 4
 
0.4%
4 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
o 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1058
8.2%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:38.186220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.897
Min length4

Characters and Unicode

Total characters12897
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
2228505 1
 
0.1%
861357 1
 
0.1%
259635 1
 
0.1%
303961 1
 
0.1%
2971874 1
 
0.1%
131610 1
 
0.1%
124800 1
 
0.1%
171780 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:38.514050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1077
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.4%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 92
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
21.7%
8 11
12.0%
0 10
10.9%
3 9
9.8%
9 9
9.8%
2 9
9.8%
5 8
 
8.7%
7 7
 
7.6%
6 5
 
5.4%
4 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.6%
Common 1077
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
985
91.5%
1 20
 
1.9%
8 11
 
1.0%
0 10
 
0.9%
3 9
 
0.8%
9 9
 
0.8%
2 9
 
0.8%
5 8
 
0.7%
7 7
 
0.6%
6 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1077
8.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:38.692073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.901
Min length2

Characters and Unicode

Total characters12901
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.3%
available 985
49.3%
100 11
 
0.6%
yes 11
 
0.6%
no 4
 
0.2%
2023-12-09T20:34:38.981853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
996
7.7%
e 996
7.7%
N 989
7.7%
o 989
7.7%
t 985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
Other values (6) 1051
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9876
76.6%
Uppercase Letter 1985
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 33
 
0.3%
Other Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
19.9%
l 1970
19.9%
e 996
10.1%
o 989
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
s 11
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 989
49.8%
A 985
49.6%
Y 11
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 22
66.7%
1 11
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
% 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11861
91.9%
Common 1040
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1970
16.6%
e 996
8.4%
N 989
8.3%
o 989
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
Other values (2) 22
 
0.2%
Common
ValueCountFrequency (%)
996
95.8%
0 22
 
2.1%
1 11
 
1.1%
% 11
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
996
7.7%
e 996
7.7%
N 989
7.7%
o 989
7.7%
t 985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
Other values (6) 1051
8.1%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:39.182913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.876
Min length3

Characters and Unicode

Total characters12876
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
1069 1
 
0.1%
86.1 1
 
0.1%
594.3 1
 
0.1%
206.9 1
 
0.1%
782.9 1
 
0.1%
90.5 1
 
0.1%
197.6 1
 
0.1%
179.1 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:39.500572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
e 985
7.6%
i 985
7.6%
b 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (12) 1056
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 57
 
0.4%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
14.0%
9 8
14.0%
1 7
12.3%
6 7
12.3%
5 6
10.5%
8 5
8.8%
4 4
7.0%
3 4
7.0%
7 4
7.0%
2 4
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
e 985
10.0%
i 985
10.0%
b 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.8%
Common 1056
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
93.3%
. 14
 
1.3%
0 8
 
0.8%
9 8
 
0.8%
1 7
 
0.7%
6 7
 
0.7%
5 6
 
0.6%
8 5
 
0.5%
4 4
 
0.4%
3 4
 
0.4%
Other values (2) 8
 
0.8%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
e 985
8.3%
i 985
8.3%
b 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12876
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
e 985
7.6%
i 985
7.6%
b 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (12) 1056
8.2%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:39.701433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.902
Min length3

Characters and Unicode

Total characters12902
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
0.68999 2
 
0.1%
0.7 1
 
0.1%
0.69 1
 
0.1%
0.69004 1
 
0.1%
0.69007 1
 
0.1%
0.68994 1
 
0.1%
0.6899 1
 
0.1%
0.47969 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:34:40.028796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1082
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.3%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 82
 
0.6%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
28.0%
9 22
26.8%
6 15
18.3%
8 11
13.4%
4 4
 
4.9%
7 3
 
3.7%
1 2
 
2.4%
2 1
 
1.2%
5 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.6%
Common 1082
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
985
91.0%
0 23
 
2.1%
9 22
 
2.0%
. 15
 
1.4%
6 15
 
1.4%
8 11
 
1.0%
4 4
 
0.4%
7 3
 
0.3%
1 2
 
0.2%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1082
8.4%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:40.224170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.827
Min length1

Characters and Unicode

Total characters12827
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
15 3
 
0.2%
20 3
 
0.2%
8 3
 
0.2%
5 2
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
10 1
 
0.1%
4 1
 
0.1%
2023-12-09T20:34:40.591357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.4%
l 1970
15.4%
N 985
7.7%
e 985
7.7%
o 985
7.7%
i 985
7.7%
b 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (9) 1007
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.8%
Uppercase Letter 1970
 
15.4%
Space Separator 985
 
7.7%
Decimal Number 22
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
e 985
10.0%
o 985
10.0%
i 985
10.0%
b 985
10.0%
v 985
10.0%
t 985
10.0%
Decimal Number
ValueCountFrequency (%)
5 5
22.7%
1 4
18.2%
0 4
18.2%
2 3
13.6%
8 3
13.6%
6 1
 
4.5%
3 1
 
4.5%
4 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.1%
Common 1007
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
e 985
8.3%
o 985
8.3%
i 985
8.3%
b 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%
Common
ValueCountFrequency (%)
985
97.8%
5 5
 
0.5%
1 4
 
0.4%
0 4
 
0.4%
2 3
 
0.3%
8 3
 
0.3%
6 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.4%
l 1970
15.4%
N 985
7.7%
e 985
7.7%
o 985
7.7%
i 985
7.7%
b 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (9) 1007
7.9%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:40.793815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length1

Characters and Unicode

Total characters12888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
0 3
 
0.2%
0.00231 1
 
0.1%
0.00088 1
 
0.1%
0.00329 1
 
0.1%
0.00762 1
 
0.1%
0.00339 1
 
0.1%
0.00101 1
 
0.1%
0.00045 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:34:41.112709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1068
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.4%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 71
 
0.6%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
59.2%
1 7
 
9.9%
3 5
 
7.0%
8 5
 
7.0%
2 4
 
5.6%
9 2
 
2.8%
6 2
 
2.8%
5 2
 
2.8%
7 1
 
1.4%
4 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.7%
Common 1068
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.2%
0 42
 
3.9%
. 12
 
1.1%
1 7
 
0.7%
3 5
 
0.5%
8 5
 
0.5%
2 4
 
0.4%
9 2
 
0.2%
6 2
 
0.2%
5 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1068
8.3%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:41.295689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.82
Min length1

Characters and Unicode

Total characters12820
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
1 9
 
0.5%
0 3
 
0.2%
9 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
2023-12-09T20:34:41.590579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.4%
l 1970
15.4%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (6) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.8%
Uppercase Letter 1970
 
15.4%
Space Separator 985
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Decimal Number
ValueCountFrequency (%)
1 9
60.0%
0 3
 
20.0%
9 1
 
6.7%
3 1
 
6.7%
2 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
Common
ValueCountFrequency (%)
985
98.5%
1 9
 
0.9%
0 3
 
0.3%
9 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.4%
l 1970
15.4%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (6) 1000
7.8%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:41.785322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846
Min length1

Characters and Unicode

Total characters12846
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
997 1
 
0.1%
357 1
 
0.1%
843 1
 
0.1%
894 1
 
0.1%
80 1
 
0.1%
153 1
 
0.1%
667 1
 
0.1%
215 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:42.104711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1026
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.7%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 41
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
12.2%
0 5
12.2%
7 5
12.2%
3 5
12.2%
9 4
9.8%
5 4
9.8%
8 4
9.8%
4 3
7.3%
2 3
7.3%
1 3
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.0%
Common 1026
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
985
96.0%
6 5
 
0.5%
0 5
 
0.5%
7 5
 
0.5%
3 5
 
0.5%
9 4
 
0.4%
5 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
2 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1026
8.0%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:42.313486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length3

Characters and Unicode

Total characters12880
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
164.7 1
 
0.1%
1497.7 1
 
0.1%
779.3 1
 
0.1%
378.1 1
 
0.1%
1224.9 1
 
0.1%
173.1 1
 
0.1%
3922.9 1
 
0.1%
6.6 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:42.640940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1060
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 62
 
0.5%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 13
21.0%
3 12
19.4%
1 11
17.7%
2 7
11.3%
9 6
9.7%
4 4
 
6.5%
6 4
 
6.5%
5 3
 
4.8%
8 2
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.8%
Common 1060
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.9%
7 13
 
1.2%
. 13
 
1.2%
3 12
 
1.1%
1 11
 
1.0%
2 7
 
0.7%
9 6
 
0.6%
4 4
 
0.4%
6 4
 
0.4%
5 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1060
8.2%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:42.840390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length4

Characters and Unicode

Total characters12904
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
1.32001 3
 
0.2%
1.32 2
 
0.1%
1.31971 2
 
0.1%
1.32002 1
 
0.1%
1.31996 1
 
0.1%
1.24391 1
 
0.1%
1.31993 1
 
0.1%
1.48754 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:34:43.150587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1084
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.3%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 84
 
0.7%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
34.5%
3 15
17.9%
9 10
 
11.9%
2 8
 
9.5%
0 8
 
9.5%
8 4
 
4.8%
7 3
 
3.6%
4 3
 
3.6%
6 2
 
2.4%
5 2
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.6%
Common 1084
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
985
90.9%
1 29
 
2.7%
. 15
 
1.4%
3 15
 
1.4%
9 10
 
0.9%
2 8
 
0.7%
0 8
 
0.7%
8 4
 
0.4%
7 3
 
0.3%
4 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1084
8.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:43.330730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.841
Min length2

Characters and Unicode

Total characters12841
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
no 14
 
0.7%
100 1
 
0.1%
yes 1
 
0.1%
2023-12-09T20:34:43.621804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 999
7.8%
o 999
7.8%
986
7.7%
e 986
7.7%
t 985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
Other values (6) 991
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9866
76.8%
Uppercase Letter 1985
 
15.5%
Space Separator 986
 
7.7%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 999
10.1%
e 986
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.3%
A 985
49.6%
Y 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11851
92.3%
Common 990
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1970
16.6%
N 999
8.4%
o 999
8.4%
e 986
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
986
99.6%
0 2
 
0.2%
1 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 999
7.8%
o 999
7.8%
986
7.7%
e 986
7.7%
t 985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
Other values (6) 991
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:43.794982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.958
Min length10

Characters and Unicode

Total characters12958
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.3%
available 986
49.3%
non 14
 
0.7%
profit 14
 
0.7%
2023-12-09T20:34:44.092249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.2%
l 1972
15.2%
o 1014
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 986
7.6%
v 986
7.6%
b 986
7.6%
Other values (5) 1042
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9958
76.8%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
19.8%
l 1972
19.8%
o 1014
10.2%
t 1000
10.0%
i 1000
10.0%
v 986
9.9%
b 986
9.9%
e 986
9.9%
n 14
 
0.1%
r 14
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 986
49.3%
P 14
 
0.7%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11958
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.5%
l 1972
16.5%
o 1014
8.5%
N 1000
8.4%
t 1000
8.4%
i 1000
8.4%
A 986
8.2%
v 986
8.2%
b 986
8.2%
e 986
8.2%
Other values (4) 56
 
0.5%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.2%
l 1972
15.2%
o 1014
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 986
7.6%
v 986
7.6%
b 986
7.6%
Other values (5) 1042
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:44.266860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.85
Min length3

Characters and Unicode

Total characters12850
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
100 15
 
0.8%
2023-12-09T20:34:44.554709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (3) 1030
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.7%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 45
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Decimal Number
ValueCountFrequency (%)
0 30
66.7%
1 15
33.3%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.0%
Common 1030
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
Common
ValueCountFrequency (%)
985
95.6%
0 30
 
2.9%
1 15
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (3) 1030
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:44.727338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.85
Min length3

Characters and Unicode

Total characters12850
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
100 15
 
0.8%
2023-12-09T20:34:45.012297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (3) 1030
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.7%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 45
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Decimal Number
ValueCountFrequency (%)
0 30
66.7%
1 15
33.3%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.0%
Common 1030
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
Common
ValueCountFrequency (%)
985
95.6%
0 30
 
2.9%
1 15
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (3) 1030
8.0%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:45.225344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length3

Characters and Unicode

Total characters12904
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
0.4 1
 
0.1%
1.38622 1
 
0.1%
0.53187 1
 
0.1%
0.50335 1
 
0.1%
0.2993 1
 
0.1%
0.46571 1
 
0.1%
0.28366 1
 
0.1%
1.63933 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:34:45.560648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1084
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.3%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 84
 
0.7%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 14
16.7%
0 14
16.7%
6 11
13.1%
5 9
10.7%
2 7
8.3%
8 7
8.3%
1 7
8.3%
9 6
7.1%
4 5
 
6.0%
7 4
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
o 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.6%
Common 1084
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
985
90.9%
. 15
 
1.4%
3 14
 
1.3%
0 14
 
1.3%
6 11
 
1.0%
5 9
 
0.8%
2 7
 
0.6%
8 7
 
0.6%
1 7
 
0.6%
9 6
 
0.6%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
o 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1084
8.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:45.752627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.907
Min length2

Characters and Unicode

Total characters12907
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.3%
available 985
49.3%
100 12
 
0.6%
yes 12
 
0.6%
no 3
 
0.2%
2023-12-09T20:34:46.043687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
997
7.7%
e 997
7.7%
N 988
7.7%
o 988
7.7%
t 985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
Other values (6) 1057
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9877
76.5%
Uppercase Letter 1985
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 36
 
0.3%
Other Punctuation 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
19.9%
l 1970
19.9%
e 997
10.1%
o 988
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
s 12
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 988
49.8%
A 985
49.6%
Y 12
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 24
66.7%
1 12
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
% 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11862
91.9%
Common 1045
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1970
16.6%
e 997
8.4%
N 988
8.3%
o 988
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
Other values (2) 24
 
0.2%
Common
ValueCountFrequency (%)
997
95.4%
0 24
 
2.3%
1 12
 
1.1%
% 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
997
7.7%
e 997
7.7%
N 988
7.7%
o 988
7.7%
t 985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
Other values (6) 1057
8.2%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:34:46.287943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.607
Min length3

Characters and Unicode

Total characters12607
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)4.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
5000 4
 
0.2%
4000 2
 
0.1%
56904 1
 
0.1%
10750 1
 
0.1%
7104 1
 
0.1%
5343 1
 
0.1%
10400 1
 
0.1%
4905 1
 
0.1%
Other values (34) 34
 
1.7%
2023-12-09T20:34:46.665657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.6%
o 954
7.6%
b 954
7.6%
i 954
7.6%
e 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (11) 1159
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
75.7%
Uppercase Letter 1908
 
15.1%
Space Separator 954
 
7.6%
Decimal Number 205
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
33.7%
5 26
 
12.7%
1 24
 
11.7%
7 15
 
7.3%
6 14
 
6.8%
4 13
 
6.3%
9 12
 
5.9%
3 11
 
5.4%
2 11
 
5.4%
8 10
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
b 954
10.0%
i 954
10.0%
e 954
10.0%
v 954
10.0%
t 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
90.8%
Common 1159
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
954
82.3%
0 69
 
6.0%
5 26
 
2.2%
1 24
 
2.1%
7 15
 
1.3%
6 14
 
1.2%
4 13
 
1.1%
9 12
 
1.0%
3 11
 
0.9%
2 11
 
0.9%
Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
b 954
8.3%
i 954
8.3%
e 954
8.3%
v 954
8.3%
A 954
8.3%
t 954
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.6%
o 954
7.6%
b 954
7.6%
i 954
7.6%
e 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (11) 1159
9.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:46.850226image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.927
Min length1

Characters and Unicode

Total characters12927
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 5
 
0.3%
0.0542 1
 
0.1%
0.00892 1
 
0.1%
2023-12-09T20:34:47.146136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
e 993
7.7%
o 993
7.7%
i 993
7.7%
b 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (8) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.8%
Uppercase Letter 1986
 
15.4%
Space Separator 993
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
e 993
10.0%
o 993
10.0%
i 993
10.0%
b 993
10.0%
v 993
10.0%
t 993
10.0%
Decimal Number
ValueCountFrequency (%)
0 10
62.5%
2 2
 
12.5%
5 1
 
6.2%
4 1
 
6.2%
8 1
 
6.2%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.2%
Common 1011
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
e 993
8.3%
o 993
8.3%
i 993
8.3%
b 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
98.2%
0 10
 
1.0%
. 2
 
0.2%
2 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
e 993
7.7%
o 993
7.7%
i 993
7.7%
b 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (8) 1011
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:47.323857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.916
Min length1

Characters and Unicode

Total characters12916
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 5
 
0.3%
6 1
 
0.1%
1 1
 
0.1%
2023-12-09T20:34:47.614546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (4) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.9%
Uppercase Letter 1986
 
15.4%
Space Separator 993
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
t 993
10.0%
v 993
10.0%
i 993
10.0%
b 993
10.0%
e 993
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
71.4%
6 1
 
14.3%
1 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
t 993
8.3%
A 993
8.3%
v 993
8.3%
i 993
8.3%
b 993
8.3%
e 993
8.3%
Common
ValueCountFrequency (%)
993
99.3%
0 5
 
0.5%
6 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (4) 1000
7.7%
Distinct33
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:34:47.835778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.501
Min length1

Characters and Unicode

Total characters12501
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
13 3
 
0.2%
8 3
 
0.2%
9 3
 
0.2%
4 3
 
0.2%
22 2
 
0.1%
250 2
 
0.1%
5 2
 
0.1%
2 2
 
0.1%
Other values (24) 26
 
1.3%
2023-12-09T20:34:48.184031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (12) 1053
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.3%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.6%
Decimal Number 94
 
0.8%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
18.1%
0 12
12.8%
2 12
12.8%
3 10
10.6%
4 10
10.6%
5 10
10.6%
9 8
8.5%
7 6
 
6.4%
8 5
 
5.3%
6 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.6%
Common 1053
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
954
90.6%
1 17
 
1.6%
0 12
 
1.1%
2 12
 
1.1%
3 10
 
0.9%
4 10
 
0.9%
5 10
 
0.9%
9 8
 
0.8%
7 6
 
0.6%
8 5
 
0.5%
Other values (2) 9
 
0.9%
Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (12) 1053
8.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:34:48.363967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.535
Min length2

Characters and Unicode

Total characters12535
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
100 41
 
2.1%
90 3
 
0.2%
10 1
 
0.1%
60 1
 
0.1%
2023-12-09T20:34:48.659777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (5) 1087
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.1%
Uppercase Letter 1908
 
15.2%
Space Separator 954
 
7.6%
Decimal Number 133
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Decimal Number
ValueCountFrequency (%)
0 87
65.4%
1 42
31.6%
9 3
 
2.3%
6 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.3%
Common 1087
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%
Common
ValueCountFrequency (%)
954
87.8%
0 87
 
8.0%
1 42
 
3.9%
9 3
 
0.3%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (5) 1087
8.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:34:48.832434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.535
Min length2

Characters and Unicode

Total characters12535
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
100 41
 
2.1%
90 4
 
0.2%
30 1
 
0.1%
2023-12-09T20:34:49.124018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (5) 1087
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.1%
Uppercase Letter 1908
 
15.2%
Space Separator 954
 
7.6%
Decimal Number 133
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Decimal Number
ValueCountFrequency (%)
0 87
65.4%
1 41
30.8%
9 4
 
3.0%
3 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.3%
Common 1087
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%
Common
ValueCountFrequency (%)
954
87.8%
0 87
 
8.0%
1 41
 
3.8%
9 4
 
0.4%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
o 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
Other values (5) 1087
8.7%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:34:49.334114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.508
Min length1

Characters and Unicode

Total characters12508
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
65 12
 
0.6%
40 8
 
0.4%
50 3
 
0.2%
60 2
 
0.1%
55 2
 
0.1%
51 1
 
0.1%
70 1
 
0.1%
61.49 1
 
0.1%
Other values (16) 16
 
0.8%
2023-12-09T20:34:49.664762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
e 954
7.6%
Other values (12) 1060
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.3%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.6%
Decimal Number 102
 
0.8%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
25.5%
0 20
19.6%
6 20
19.6%
4 14
13.7%
1 6
 
5.9%
8 5
 
4.9%
2 4
 
3.9%
3 3
 
2.9%
7 3
 
2.9%
9 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
o 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.5%
Common 1060
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
954
90.0%
5 26
 
2.5%
0 20
 
1.9%
6 20
 
1.9%
4 14
 
1.3%
1 6
 
0.6%
8 5
 
0.5%
. 4
 
0.4%
2 4
 
0.4%
3 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%
o 954
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.6%
t 954
7.6%
954
7.6%
A 954
7.6%
v 954
7.6%
i 954
7.6%
b 954
7.6%
e 954
7.6%
Other values (12) 1060
8.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:49.841643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
102571 1
 
0.1%
2023-12-09T20:34:50.144986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 1
16.7%
2 1
16.7%
5 1
16.7%
7 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
1 2
 
0.2%
0 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:50.328393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.948
Min length3

Characters and Unicode

Total characters12948
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
105518 1
 
0.1%
1050 1
 
0.1%
1440 1
 
0.1%
18268 1
 
0.1%
1661 1
 
0.1%
770 1
 
0.1%
2023-12-09T20:34:50.630574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.8%
Uppercase Letter 1988
 
15.4%
Space Separator 994
 
7.7%
Decimal Number 26
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
e 994
10.0%
o 994
10.0%
i 994
10.0%
b 994
10.0%
v 994
10.0%
t 994
10.0%
Decimal Number
ValueCountFrequency (%)
1 7
26.9%
0 5
19.2%
5 3
11.5%
8 3
11.5%
6 3
11.5%
4 2
 
7.7%
7 2
 
7.7%
2 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
e 994
8.3%
o 994
8.3%
i 994
8.3%
b 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
97.5%
1 7
 
0.7%
0 5
 
0.5%
5 3
 
0.3%
8 3
 
0.3%
6 3
 
0.3%
4 2
 
0.2%
7 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1020
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:50.801234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:51.082335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:51.252167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:51.541547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:34:51.756926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.851
Min length4

Characters and Unicode

Total characters12851
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.5%
available 981
49.5%
109000 1
 
0.1%
52342 1
 
0.1%
133787 1
 
0.1%
265000 1
 
0.1%
163020 1
 
0.1%
136000 1
 
0.1%
6418 1
 
0.1%
41000 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:34:52.095277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.6%
o 981
7.6%
b 981
7.6%
i 981
7.6%
e 981
7.6%
v 981
7.6%
A 981
7.6%
981
7.6%
Other values (11) 1079
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9810
76.3%
Uppercase Letter 1962
 
15.3%
Space Separator 981
 
7.6%
Decimal Number 98
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
43.9%
1 11
 
11.2%
2 9
 
9.2%
6 7
 
7.1%
5 6
 
6.1%
3 6
 
6.1%
7 6
 
6.1%
8 4
 
4.1%
4 4
 
4.1%
9 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1962
20.0%
l 1962
20.0%
o 981
10.0%
b 981
10.0%
i 981
10.0%
e 981
10.0%
v 981
10.0%
t 981
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 981
50.0%
A 981
50.0%
Space Separator
ValueCountFrequency (%)
981
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11772
91.6%
Common 1079
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
981
90.9%
0 43
 
4.0%
1 11
 
1.0%
2 9
 
0.8%
6 7
 
0.6%
5 6
 
0.6%
3 6
 
0.6%
7 6
 
0.6%
8 4
 
0.4%
4 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1962
16.7%
l 1962
16.7%
N 981
8.3%
o 981
8.3%
b 981
8.3%
i 981
8.3%
e 981
8.3%
v 981
8.3%
A 981
8.3%
t 981
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.3%
l 1962
15.3%
N 981
7.6%
o 981
7.6%
b 981
7.6%
i 981
7.6%
e 981
7.6%
v 981
7.6%
A 981
7.6%
981
7.6%
Other values (11) 1079
8.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:52.278553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:52.573435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:52.750818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:53.047672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:34:53.234879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.958
Min length4

Characters and Unicode

Total characters12958
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2130 1
 
0.1%
245000 1
 
0.1%
2135 1
 
0.1%
42400 1
 
0.1%
7750 1
 
0.1%
2023-12-09T20:34:53.535719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1018
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 23
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 7
30.4%
2 4
17.4%
4 3
13.0%
5 3
13.0%
1 2
 
8.7%
3 2
 
8.7%
7 2
 
8.7%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1018
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.7%
0 7
 
0.7%
2 4
 
0.4%
4 3
 
0.3%
5 3
 
0.3%
1 2
 
0.2%
3 2
 
0.2%
7 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1018
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:53.704661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:54.010191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:54.188760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:54.478548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:54.645897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:54.923825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:34:55.093311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:34:55.382132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:34:55.551255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.581
Min length2

Characters and Unicode

Total characters8581
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 583
36.2%
available 583
36.2%
no 389
24.1%
100 28
 
1.7%
yes 28
 
1.7%
2023-12-09T20:34:55.840155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1166
13.6%
l 1166
13.6%
N 972
11.3%
o 972
11.3%
611
7.1%
e 611
7.1%
t 583
6.8%
A 583
6.8%
v 583
6.8%
i 583
6.8%
Other values (6) 751
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6275
73.1%
Uppercase Letter 1583
 
18.4%
Space Separator 611
 
7.1%
Decimal Number 84
 
1.0%
Other Punctuation 28
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1166
18.6%
l 1166
18.6%
o 972
15.5%
e 611
9.7%
t 583
9.3%
v 583
9.3%
i 583
9.3%
b 583
9.3%
s 28
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 972
61.4%
A 583
36.8%
Y 28
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 56
66.7%
1 28
33.3%
Space Separator
ValueCountFrequency (%)
611
100.0%
Other Punctuation
ValueCountFrequency (%)
% 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7858
91.6%
Common 723
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1166
14.8%
l 1166
14.8%
N 972
12.4%
o 972
12.4%
e 611
7.8%
t 583
7.4%
A 583
7.4%
v 583
7.4%
i 583
7.4%
b 583
7.4%
Other values (2) 56
 
0.7%
Common
ValueCountFrequency (%)
611
84.5%
0 56
 
7.7%
1 28
 
3.9%
% 28
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1166
13.6%
l 1166
13.6%
N 972
11.3%
o 972
11.3%
611
7.1%
e 611
7.1%
t 583
6.8%
A 583
6.8%
v 583
6.8%
i 583
6.8%
Other values (6) 751
8.8%
Distinct466
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:34:56.328419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.263
Min length4

Characters and Unicode

Total characters9263
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)44.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 503
33.5%
available 503
33.5%
22033 9
 
0.6%
39667 4
 
0.3%
117590 3
 
0.2%
85757 3
 
0.2%
122204 3
 
0.2%
89004 2
 
0.1%
81804 2
 
0.1%
58000 2
 
0.1%
Other values (457) 469
31.2%
2023-12-09T20:34:56.953049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1006
 
10.9%
l 1006
 
10.9%
N 503
 
5.4%
o 503
 
5.4%
b 503
 
5.4%
i 503
 
5.4%
e 503
 
5.4%
v 503
 
5.4%
A 503
 
5.4%
503
 
5.4%
Other values (11) 3227
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5030
54.3%
Decimal Number 2724
29.4%
Uppercase Letter 1006
 
10.9%
Space Separator 503
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 446
16.4%
1 330
12.1%
5 266
9.8%
7 264
9.7%
6 260
9.5%
4 254
9.3%
2 248
9.1%
8 225
8.3%
9 216
7.9%
3 215
7.9%
Lowercase Letter
ValueCountFrequency (%)
a 1006
20.0%
l 1006
20.0%
o 503
10.0%
b 503
10.0%
i 503
10.0%
e 503
10.0%
v 503
10.0%
t 503
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 503
50.0%
A 503
50.0%
Space Separator
ValueCountFrequency (%)
503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6036
65.2%
Common 3227
34.8%

Most frequent character per script

Common
ValueCountFrequency (%)
503
15.6%
0 446
13.8%
1 330
10.2%
5 266
8.2%
7 264
8.2%
6 260
8.1%
4 254
7.9%
2 248
7.7%
8 225
7.0%
9 216
6.7%
Latin
ValueCountFrequency (%)
a 1006
16.7%
l 1006
16.7%
N 503
8.3%
o 503
8.3%
b 503
8.3%
i 503
8.3%
e 503
8.3%
v 503
8.3%
A 503
8.3%
t 503
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1006
 
10.9%
l 1006
 
10.9%
N 503
 
5.4%
o 503
 
5.4%
b 503
 
5.4%
i 503
 
5.4%
e 503
 
5.4%
v 503
 
5.4%
A 503
 
5.4%
503
 
5.4%
Other values (11) 3227
34.8%
Distinct50
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2023-12-09T20:34:57.213623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.547
Min length1

Characters and Unicode

Total characters8547
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 609
37.8%
available 609
37.8%
6 90
 
5.6%
16 23
 
1.4%
13 21
 
1.3%
5 21
 
1.3%
15 21
 
1.3%
12 18
 
1.1%
11 16
 
1.0%
10 15
 
0.9%
Other values (41) 166
 
10.3%
2023-12-09T20:34:57.580788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1218
14.3%
l 1218
14.3%
N 609
7.1%
o 609
7.1%
b 609
7.1%
i 609
7.1%
e 609
7.1%
v 609
7.1%
A 609
7.1%
609
7.1%
Other values (11) 1239
14.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6090
71.3%
Uppercase Letter 1218
 
14.3%
Decimal Number 630
 
7.4%
Space Separator 609
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 187
29.7%
6 118
18.7%
2 72
 
11.4%
3 57
 
9.0%
5 53
 
8.4%
7 37
 
5.9%
0 33
 
5.2%
4 32
 
5.1%
8 22
 
3.5%
9 19
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1218
20.0%
l 1218
20.0%
o 609
10.0%
b 609
10.0%
i 609
10.0%
e 609
10.0%
v 609
10.0%
t 609
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 609
50.0%
A 609
50.0%
Space Separator
ValueCountFrequency (%)
609
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7308
85.5%
Common 1239
 
14.5%

Most frequent character per script

Common
ValueCountFrequency (%)
609
49.2%
1 187
 
15.1%
6 118
 
9.5%
2 72
 
5.8%
3 57
 
4.6%
5 53
 
4.3%
7 37
 
3.0%
0 33
 
2.7%
4 32
 
2.6%
8 22
 
1.8%
Latin
ValueCountFrequency (%)
a 1218
16.7%
l 1218
16.7%
N 609
8.3%
o 609
8.3%
b 609
8.3%
i 609
8.3%
e 609
8.3%
v 609
8.3%
A 609
8.3%
t 609
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1218
14.3%
l 1218
14.3%
N 609
7.1%
o 609
7.1%
b 609
7.1%
i 609
7.1%
e 609
7.1%
v 609
7.1%
A 609
7.1%
609
7.1%
Other values (11) 1239
14.5%
Distinct258
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:34:58.080869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.645
Min length1

Characters and Unicode

Total characters8645
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)15.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 576
36.5%
available 576
36.5%
54 7
 
0.4%
110 5
 
0.3%
214 5
 
0.3%
78 5
 
0.3%
210 4
 
0.3%
100 4
 
0.3%
103 4
 
0.3%
226 4
 
0.3%
Other values (249) 386
24.5%
2023-12-09T20:34:58.715847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1152
13.3%
l 1152
13.3%
N 576
 
6.7%
o 576
 
6.7%
b 576
 
6.7%
i 576
 
6.7%
e 576
 
6.7%
v 576
 
6.7%
A 576
 
6.7%
576
 
6.7%
Other values (11) 1733
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5760
66.6%
Decimal Number 1157
 
13.4%
Uppercase Letter 1152
 
13.3%
Space Separator 576
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 234
20.2%
2 163
14.1%
0 114
9.9%
4 109
9.4%
7 96
8.3%
5 94
8.1%
8 92
 
8.0%
3 87
 
7.5%
6 86
 
7.4%
9 82
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1152
20.0%
l 1152
20.0%
o 576
10.0%
b 576
10.0%
i 576
10.0%
e 576
10.0%
v 576
10.0%
t 576
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 576
50.0%
A 576
50.0%
Space Separator
ValueCountFrequency (%)
576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6912
80.0%
Common 1733
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
576
33.2%
1 234
13.5%
2 163
 
9.4%
0 114
 
6.6%
4 109
 
6.3%
7 96
 
5.5%
5 94
 
5.4%
8 92
 
5.3%
3 87
 
5.0%
6 86
 
5.0%
Latin
ValueCountFrequency (%)
a 1152
16.7%
l 1152
16.7%
N 576
8.3%
o 576
8.3%
b 576
8.3%
i 576
8.3%
e 576
8.3%
v 576
8.3%
A 576
8.3%
t 576
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8645
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1152
13.3%
l 1152
13.3%
N 576
 
6.7%
o 576
 
6.7%
b 576
 
6.7%
i 576
 
6.7%
e 576
 
6.7%
v 576
 
6.7%
A 576
 
6.7%
576
 
6.7%
Other values (11) 1733
20.0%
Distinct160
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:34:59.138854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.878
Min length1

Characters and Unicode

Total characters8878
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)9.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 627
38.5%
available 627
38.5%
0 95
 
5.8%
2 7
 
0.4%
20 6
 
0.4%
18 5
 
0.3%
10 5
 
0.3%
52 5
 
0.3%
58 5
 
0.3%
21 4
 
0.2%
Other values (151) 241
 
14.8%
2023-12-09T20:34:59.702708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1254
14.1%
l 1254
14.1%
N 627
7.1%
o 627
7.1%
b 627
7.1%
i 627
7.1%
e 627
7.1%
v 627
7.1%
A 627
7.1%
627
7.1%
Other values (11) 1354
15.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6270
70.6%
Uppercase Letter 1254
 
14.1%
Decimal Number 727
 
8.2%
Space Separator 627
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 169
23.2%
1 113
15.5%
2 81
11.1%
5 67
 
9.2%
4 63
 
8.7%
3 58
 
8.0%
6 53
 
7.3%
8 46
 
6.3%
7 46
 
6.3%
9 31
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1254
20.0%
l 1254
20.0%
o 627
10.0%
b 627
10.0%
i 627
10.0%
e 627
10.0%
v 627
10.0%
t 627
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 627
50.0%
A 627
50.0%
Space Separator
ValueCountFrequency (%)
627
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7524
84.7%
Common 1354
 
15.3%

Most frequent character per script

Common
ValueCountFrequency (%)
627
46.3%
0 169
 
12.5%
1 113
 
8.3%
2 81
 
6.0%
5 67
 
4.9%
4 63
 
4.7%
3 58
 
4.3%
6 53
 
3.9%
8 46
 
3.4%
7 46
 
3.4%
Latin
ValueCountFrequency (%)
a 1254
16.7%
l 1254
16.7%
N 627
8.3%
o 627
8.3%
b 627
8.3%
i 627
8.3%
e 627
8.3%
v 627
8.3%
A 627
8.3%
t 627
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1254
14.1%
l 1254
14.1%
N 627
7.1%
o 627
7.1%
b 627
7.1%
i 627
7.1%
e 627
7.1%
v 627
7.1%
A 627
7.1%
627
7.1%
Other values (11) 1354
15.3%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:34:59.899746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.601
Min length1

Characters and Unicode

Total characters12601
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 966
49.1%
available 966
49.1%
0 24
 
1.2%
20 2
 
0.1%
5 2
 
0.1%
76 1
 
0.1%
288 1
 
0.1%
84 1
 
0.1%
50 1
 
0.1%
24 1
 
0.1%
2023-12-09T20:35:00.212396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
e 966
7.7%
o 966
7.7%
i 966
7.7%
b 966
7.7%
v 966
7.7%
A 966
7.7%
966
7.7%
Other values (9) 1009
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9660
76.7%
Uppercase Letter 1932
 
15.3%
Space Separator 966
 
7.7%
Decimal Number 43
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1932
20.0%
l 1932
20.0%
e 966
10.0%
o 966
10.0%
i 966
10.0%
b 966
10.0%
v 966
10.0%
t 966
10.0%
Decimal Number
ValueCountFrequency (%)
0 28
65.1%
2 4
 
9.3%
5 3
 
7.0%
8 3
 
7.0%
4 2
 
4.7%
7 1
 
2.3%
6 1
 
2.3%
1 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
N 966
50.0%
A 966
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11592
92.0%
Common 1009
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1932
16.7%
l 1932
16.7%
N 966
8.3%
e 966
8.3%
o 966
8.3%
i 966
8.3%
b 966
8.3%
v 966
8.3%
A 966
8.3%
t 966
8.3%
Common
ValueCountFrequency (%)
966
95.7%
0 28
 
2.8%
2 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1932
15.3%
l 1932
15.3%
N 966
7.7%
e 966
7.7%
o 966
7.7%
i 966
7.7%
b 966
7.7%
v 966
7.7%
A 966
7.7%
966
7.7%
Other values (9) 1009
8.0%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:35:00.410594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.598
Min length1

Characters and Unicode

Total characters12598
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 965
49.1%
available 965
49.1%
10 7
 
0.4%
0 6
 
0.3%
1 3
 
0.2%
8 3
 
0.2%
13 2
 
0.1%
15 2
 
0.1%
6 2
 
0.1%
16 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:35:00.733078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1930
15.3%
l 1930
15.3%
N 965
7.7%
o 965
7.7%
b 965
7.7%
i 965
7.7%
e 965
7.7%
v 965
7.7%
A 965
7.7%
965
7.7%
Other values (10) 1018
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9650
76.6%
Uppercase Letter 1930
 
15.3%
Space Separator 965
 
7.7%
Decimal Number 53
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
34.0%
0 14
26.4%
6 5
 
9.4%
3 4
 
7.5%
4 4
 
7.5%
8 3
 
5.7%
5 3
 
5.7%
7 1
 
1.9%
2 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1930
20.0%
l 1930
20.0%
o 965
10.0%
b 965
10.0%
i 965
10.0%
e 965
10.0%
v 965
10.0%
t 965
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 965
50.0%
A 965
50.0%
Space Separator
ValueCountFrequency (%)
965
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11580
91.9%
Common 1018
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1930
16.7%
l 1930
16.7%
N 965
8.3%
o 965
8.3%
b 965
8.3%
i 965
8.3%
e 965
8.3%
v 965
8.3%
A 965
8.3%
t 965
8.3%
Common
ValueCountFrequency (%)
965
94.8%
1 18
 
1.8%
0 14
 
1.4%
6 5
 
0.5%
3 4
 
0.4%
4 4
 
0.4%
8 3
 
0.3%
5 3
 
0.3%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1930
15.3%
l 1930
15.3%
N 965
7.7%
o 965
7.7%
b 965
7.7%
i 965
7.7%
e 965
7.7%
v 965
7.7%
A 965
7.7%
965
7.7%
Other values (10) 1018
8.1%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:35:01.050818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.773
Min length1

Characters and Unicode

Total characters8773
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)5.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 631
38.7%
available 631
38.7%
0 179
 
11.0%
10 10
 
0.6%
24 7
 
0.4%
4 7
 
0.4%
20 7
 
0.4%
6 6
 
0.4%
5 5
 
0.3%
30 4
 
0.2%
Other values (88) 144
 
8.8%
2023-12-09T20:35:01.496900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1262
14.4%
l 1262
14.4%
N 631
7.2%
o 631
7.2%
b 631
7.2%
i 631
7.2%
e 631
7.2%
v 631
7.2%
A 631
7.2%
631
7.2%
Other values (11) 1201
13.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6310
71.9%
Uppercase Letter 1262
 
14.4%
Space Separator 631
 
7.2%
Decimal Number 570
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 224
39.3%
1 71
 
12.5%
2 64
 
11.2%
4 54
 
9.5%
3 37
 
6.5%
6 36
 
6.3%
8 31
 
5.4%
5 26
 
4.6%
7 14
 
2.5%
9 13
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1262
20.0%
l 1262
20.0%
o 631
10.0%
b 631
10.0%
i 631
10.0%
e 631
10.0%
v 631
10.0%
t 631
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 631
50.0%
A 631
50.0%
Space Separator
ValueCountFrequency (%)
631
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7572
86.3%
Common 1201
 
13.7%

Most frequent character per script

Common
ValueCountFrequency (%)
631
52.5%
0 224
 
18.7%
1 71
 
5.9%
2 64
 
5.3%
4 54
 
4.5%
3 37
 
3.1%
6 36
 
3.0%
8 31
 
2.6%
5 26
 
2.2%
7 14
 
1.2%
Latin
ValueCountFrequency (%)
a 1262
16.7%
l 1262
16.7%
N 631
8.3%
o 631
8.3%
b 631
8.3%
i 631
8.3%
e 631
8.3%
v 631
8.3%
A 631
8.3%
t 631
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1262
14.4%
l 1262
14.4%
N 631
7.2%
o 631
7.2%
b 631
7.2%
i 631
7.2%
e 631
7.2%
v 631
7.2%
A 631
7.2%
631
7.2%
Other values (11) 1201
13.7%
Distinct44
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:35:01.735511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.656
Min length1

Characters and Unicode

Total characters8656
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 625
38.5%
available 625
38.5%
0 89
 
5.5%
10 36
 
2.2%
8 25
 
1.5%
4 25
 
1.5%
6 23
 
1.4%
5 21
 
1.3%
12 19
 
1.2%
16 15
 
0.9%
Other values (35) 122
 
7.5%
2023-12-09T20:35:02.104111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1250
14.4%
l 1250
14.4%
N 625
7.2%
o 625
7.2%
t 625
7.2%
625
7.2%
A 625
7.2%
v 625
7.2%
i 625
7.2%
b 625
7.2%
Other values (12) 1156
13.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6250
72.2%
Uppercase Letter 1250
 
14.4%
Space Separator 625
 
7.2%
Decimal Number 530
 
6.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
26.0%
1 124
23.4%
4 51
 
9.6%
2 48
 
9.1%
6 45
 
8.5%
8 34
 
6.4%
5 30
 
5.7%
3 28
 
5.3%
7 20
 
3.8%
9 12
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1250
20.0%
l 1250
20.0%
o 625
10.0%
t 625
10.0%
v 625
10.0%
i 625
10.0%
b 625
10.0%
e 625
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 625
50.0%
A 625
50.0%
Space Separator
ValueCountFrequency (%)
625
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7500
86.6%
Common 1156
 
13.4%

Most frequent character per script

Common
ValueCountFrequency (%)
625
54.1%
0 138
 
11.9%
1 124
 
10.7%
4 51
 
4.4%
2 48
 
4.2%
6 45
 
3.9%
8 34
 
2.9%
5 30
 
2.6%
3 28
 
2.4%
7 20
 
1.7%
Other values (2) 13
 
1.1%
Latin
ValueCountFrequency (%)
a 1250
16.7%
l 1250
16.7%
N 625
8.3%
o 625
8.3%
t 625
8.3%
A 625
8.3%
v 625
8.3%
i 625
8.3%
b 625
8.3%
e 625
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1250
14.4%
l 1250
14.4%
N 625
7.2%
o 625
7.2%
t 625
7.2%
625
7.2%
A 625
7.2%
v 625
7.2%
i 625
7.2%
b 625
7.2%
Other values (12) 1156
13.4%
Distinct210
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T20:35:02.965662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.12
Min length1

Characters and Unicode

Total characters8120
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)9.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 538
35.0%
available 538
35.0%
27 10
 
0.7%
60 9
 
0.6%
41 7
 
0.5%
66 6
 
0.4%
54 6
 
0.4%
120 6
 
0.4%
71 6
 
0.4%
96 6
 
0.4%
Other values (201) 406
26.4%
2023-12-09T20:35:03.979570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1076
13.3%
l 1076
13.3%
N 538
 
6.6%
o 538
 
6.6%
b 538
 
6.6%
i 538
 
6.6%
e 538
 
6.6%
v 538
 
6.6%
A 538
 
6.6%
538
 
6.6%
Other values (11) 1664
20.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5380
66.3%
Decimal Number 1126
 
13.9%
Uppercase Letter 1076
 
13.3%
Space Separator 538
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 190
16.9%
2 138
12.3%
4 124
11.0%
5 114
10.1%
7 113
10.0%
6 100
8.9%
3 98
8.7%
0 88
7.8%
8 88
7.8%
9 73
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1076
20.0%
l 1076
20.0%
o 538
10.0%
b 538
10.0%
i 538
10.0%
e 538
10.0%
v 538
10.0%
t 538
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 538
50.0%
A 538
50.0%
Space Separator
ValueCountFrequency (%)
538
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6456
79.5%
Common 1664
 
20.5%

Most frequent character per script

Common
ValueCountFrequency (%)
538
32.3%
1 190
 
11.4%
2 138
 
8.3%
4 124
 
7.5%
5 114
 
6.9%
7 113
 
6.8%
6 100
 
6.0%
3 98
 
5.9%
0 88
 
5.3%
8 88
 
5.3%
Latin
ValueCountFrequency (%)
a 1076
16.7%
l 1076
16.7%
N 538
8.3%
o 538
8.3%
b 538
8.3%
i 538
8.3%
e 538
8.3%
v 538
8.3%
A 538
8.3%
t 538
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1076
13.3%
l 1076
13.3%
N 538
 
6.6%
o 538
 
6.6%
b 538
 
6.6%
i 538
 
6.6%
e 538
 
6.6%
v 538
 
6.6%
A 538
 
6.6%
538
 
6.6%
Other values (11) 1664
20.5%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:35:04.348258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.845
Min length1

Characters and Unicode

Total characters8845
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 627
38.5%
available 627
38.5%
10 102
 
6.3%
20 97
 
6.0%
15 33
 
2.0%
5 30
 
1.8%
8 18
 
1.1%
25 13
 
0.8%
30 11
 
0.7%
4 8
 
0.5%
Other values (30) 61
 
3.7%
2023-12-09T20:35:04.960212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1254
14.2%
l 1254
14.2%
N 627
7.1%
t 627
7.1%
627
7.1%
A 627
7.1%
v 627
7.1%
i 627
7.1%
b 627
7.1%
e 627
7.1%
Other values (12) 1321
14.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6270
70.9%
Uppercase Letter 1254
 
14.2%
Decimal Number 682
 
7.7%
Space Separator 627
 
7.1%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
31.4%
1 160
23.5%
2 127
18.6%
5 81
 
11.9%
3 28
 
4.1%
8 26
 
3.8%
4 16
 
2.3%
9 15
 
2.2%
6 12
 
1.8%
7 3
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1254
20.0%
l 1254
20.0%
t 627
10.0%
v 627
10.0%
i 627
10.0%
b 627
10.0%
e 627
10.0%
o 627
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 627
50.0%
A 627
50.0%
Space Separator
ValueCountFrequency (%)
627
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7524
85.1%
Common 1321
 
14.9%

Most frequent character per script

Common
ValueCountFrequency (%)
627
47.5%
0 214
 
16.2%
1 160
 
12.1%
2 127
 
9.6%
5 81
 
6.1%
3 28
 
2.1%
8 26
 
2.0%
4 16
 
1.2%
9 15
 
1.1%
6 12
 
0.9%
Other values (2) 15
 
1.1%
Latin
ValueCountFrequency (%)
a 1254
16.7%
l 1254
16.7%
N 627
8.3%
t 627
8.3%
A 627
8.3%
v 627
8.3%
i 627
8.3%
b 627
8.3%
e 627
8.3%
o 627
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1254
14.2%
l 1254
14.2%
N 627
7.1%
t 627
7.1%
627
7.1%
A 627
7.1%
v 627
7.1%
i 627
7.1%
b 627
7.1%
e 627
7.1%
Other values (12) 1321
14.9%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T20:35:05.237120image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length7.747
Min length1

Characters and Unicode

Total characters7747
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 503
33.5%
available 503
33.5%
100 280
18.6%
90 88
 
5.9%
0 69
 
4.6%
80 21
 
1.4%
70 10
 
0.7%
40 9
 
0.6%
50 6
 
0.4%
20 3
 
0.2%
Other values (5) 11
 
0.7%
2023-12-09T20:35:05.923925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1006
13.0%
l 1006
13.0%
0 776
10.0%
N 503
 
6.5%
t 503
 
6.5%
503
 
6.5%
A 503
 
6.5%
v 503
 
6.5%
i 503
 
6.5%
b 503
 
6.5%
Other values (12) 1438
18.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5030
64.9%
Decimal Number 1207
 
15.6%
Uppercase Letter 1006
 
13.0%
Space Separator 503
 
6.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 776
64.3%
1 283
 
23.4%
9 89
 
7.4%
8 22
 
1.8%
7 11
 
0.9%
4 9
 
0.7%
5 7
 
0.6%
2 4
 
0.3%
3 3
 
0.2%
6 3
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 1006
20.0%
l 1006
20.0%
t 503
10.0%
v 503
10.0%
i 503
10.0%
b 503
10.0%
e 503
10.0%
o 503
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 503
50.0%
A 503
50.0%
Space Separator
ValueCountFrequency (%)
503
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6036
77.9%
Common 1711
 
22.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 776
45.4%
503
29.4%
1 283
 
16.5%
9 89
 
5.2%
8 22
 
1.3%
7 11
 
0.6%
4 9
 
0.5%
5 7
 
0.4%
2 4
 
0.2%
3 3
 
0.2%
Other values (2) 4
 
0.2%
Latin
ValueCountFrequency (%)
a 1006
16.7%
l 1006
16.7%
N 503
8.3%
t 503
8.3%
A 503
8.3%
v 503
8.3%
i 503
8.3%
b 503
8.3%
e 503
8.3%
o 503
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1006
13.0%
l 1006
13.0%
0 776
10.0%
N 503
 
6.5%
t 503
 
6.5%
503
 
6.5%
A 503
 
6.5%
v 503
 
6.5%
i 503
 
6.5%
b 503
 
6.5%
Other values (12) 1438
18.6%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T20:35:06.214526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length7.922
Min length1

Characters and Unicode

Total characters7922
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 503
33.5%
available 503
33.5%
100 390
25.9%
90 64
 
4.3%
20 19
 
1.3%
80 17
 
1.1%
70 5
 
0.3%
91 1
 
0.1%
0 1
 
0.1%
2023-12-09T20:35:06.693607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1006
12.7%
a 1006
12.7%
0 886
11.2%
i 503
 
6.3%
e 503
 
6.3%
b 503
 
6.3%
o 503
 
6.3%
N 503
 
6.3%
v 503
 
6.3%
A 503
 
6.3%
Other values (7) 1503
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5030
63.5%
Decimal Number 1383
 
17.5%
Uppercase Letter 1006
 
12.7%
Space Separator 503
 
6.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1006
20.0%
a 1006
20.0%
i 503
10.0%
e 503
10.0%
b 503
10.0%
o 503
10.0%
v 503
10.0%
t 503
10.0%
Decimal Number
ValueCountFrequency (%)
0 886
64.1%
1 391
28.3%
9 65
 
4.7%
2 19
 
1.4%
8 17
 
1.2%
7 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 503
50.0%
A 503
50.0%
Space Separator
ValueCountFrequency (%)
503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6036
76.2%
Common 1886
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1006
16.7%
a 1006
16.7%
i 503
8.3%
e 503
8.3%
b 503
8.3%
o 503
8.3%
N 503
8.3%
v 503
8.3%
A 503
8.3%
t 503
8.3%
Common
ValueCountFrequency (%)
0 886
47.0%
503
26.7%
1 391
20.7%
9 65
 
3.4%
2 19
 
1.0%
8 17
 
0.9%
7 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1006
12.7%
a 1006
12.7%
0 886
11.2%
i 503
 
6.3%
e 503
 
6.3%
b 503
 
6.3%
o 503
 
6.3%
N 503
 
6.3%
v 503
 
6.3%
A 503
 
6.3%
Other values (7) 1503
19.0%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size69.4 KiB
2023-12-09T20:35:06.992471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length26
Median length13
Mean length13.963
Min length3

Characters and Unicode

Total characters13963
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 747
30.1%
available 747
30.1%
no 200
 
8.1%
fuel 125
 
5.0%
oil 125
 
5.0%
natural 102
 
4.1%
gas 102
 
4.1%
5 75
 
3.0%
and 75
 
3.0%
6 75
 
3.0%
Other values (5) 109
 
4.4%
2023-12-09T20:35:07.510307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1901
13.6%
l 1846
13.2%
1482
10.6%
N 1049
7.5%
o 947
 
6.8%
t 927
 
6.6%
i 924
 
6.6%
e 898
 
6.4%
A 747
 
5.3%
v 747
 
5.3%
Other values (21) 2495
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9622
68.9%
Uppercase Letter 2200
 
15.8%
Space Separator 1482
 
10.6%
Other Punctuation 209
 
1.5%
Decimal Number 200
 
1.4%
Open Punctuation 125
 
0.9%
Close Punctuation 125
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1901
19.8%
l 1846
19.2%
o 947
9.8%
t 927
9.6%
i 924
9.6%
e 898
9.3%
v 747
 
7.8%
b 747
 
7.8%
u 227
 
2.4%
r 128
 
1.3%
Other values (5) 330
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
N 1049
47.7%
A 747
34.0%
F 125
 
5.7%
O 125
 
5.7%
G 102
 
4.6%
D 26
 
1.2%
S 26
 
1.2%
Decimal Number
ValueCountFrequency (%)
5 75
37.5%
6 75
37.5%
2 28
 
14.0%
4 22
 
11.0%
Other Punctuation
ValueCountFrequency (%)
. 200
95.7%
, 9
 
4.3%
Space Separator
ValueCountFrequency (%)
1482
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11822
84.7%
Common 2141
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1901
16.1%
l 1846
15.6%
N 1049
8.9%
o 947
8.0%
t 927
7.8%
i 924
7.8%
e 898
7.6%
A 747
 
6.3%
v 747
 
6.3%
b 747
 
6.3%
Other values (12) 1089
9.2%
Common
ValueCountFrequency (%)
1482
69.2%
. 200
 
9.3%
( 125
 
5.8%
) 125
 
5.8%
5 75
 
3.5%
6 75
 
3.5%
2 28
 
1.3%
4 22
 
1.0%
, 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1901
13.6%
l 1846
13.2%
1482
10.6%
N 1049
7.5%
o 947
 
6.8%
t 927
 
6.6%
i 924
 
6.6%
e 898
 
6.4%
A 747
 
5.3%
v 747
 
5.3%
Other values (21) 2495
17.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2023-12-09T20:35:07.782874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length64
Median length13
Mean length17.586
Min length3

Characters and Unicode

Total characters17586
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 747
29.8%
available 747
29.8%
no 249
 
9.9%
specific 249
 
9.9%
resident 249
 
9.9%
population 249
 
9.9%
7
 
0.3%
dedicated 4
 
0.2%
senior/independent 4
 
0.2%
living 4
 
0.2%
2023-12-09T20:35:08.291875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 1759
10.0%
a 1747
9.9%
l 1743
9.9%
e 1518
 
8.6%
1509
 
8.6%
o 1498
 
8.5%
t 1253
 
7.1%
N 996
 
5.7%
v 751
 
4.3%
p 751
 
4.3%
Other values (16) 4061
23.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14305
81.3%
Uppercase Letter 1759
 
10.0%
Space Separator 1509
 
8.6%
Other Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1759
12.3%
a 1747
12.2%
l 1743
12.2%
e 1518
10.6%
o 1498
10.5%
t 1253
8.8%
v 751
 
5.2%
p 751
 
5.2%
b 747
 
5.2%
n 518
 
3.6%
Other values (7) 2020
14.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
56.6%
A 747
42.5%
D 4
 
0.2%
S 4
 
0.2%
I 4
 
0.2%
L 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 9
69.2%
/ 4
30.8%
Space Separator
ValueCountFrequency (%)
1509
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16064
91.3%
Common 1522
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1759
10.9%
a 1747
10.9%
l 1743
10.9%
e 1518
9.4%
o 1498
9.3%
t 1253
 
7.8%
N 996
 
6.2%
v 751
 
4.7%
p 751
 
4.7%
A 747
 
4.7%
Other values (13) 3301
20.5%
Common
ValueCountFrequency (%)
1509
99.1%
, 9
 
0.6%
/ 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17586
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 1759
10.0%
a 1747
9.9%
l 1743
9.9%
e 1518
 
8.6%
1509
 
8.6%
o 1498
 
8.5%
t 1253
 
7.1%
N 996
 
5.7%
v 751
 
4.3%
p 751
 
4.3%
Other values (16) 4061
23.1%
Distinct376
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size65.9 KiB
2023-12-09T20:35:08.987835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.399
Min length1

Characters and Unicode

Total characters10399
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)36.9%

Sample

1st row2.60711
2nd row4.29072
3rd row1.35702
4th row3.052
5th row4.2349
ValueCountFrequency (%)
not 601
37.5%
available 601
37.5%
2 20
 
1.2%
2.2 2
 
0.1%
3.74898 2
 
0.1%
0 2
 
0.1%
0.87321 2
 
0.1%
1.2 2
 
0.1%
3.32049 1
 
0.1%
1.85234 1
 
0.1%
Other values (367) 367
22.9%
2023-12-09T20:35:09.862358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1202
 
11.6%
l 1202
 
11.6%
N 601
 
5.8%
t 601
 
5.8%
601
 
5.8%
A 601
 
5.8%
v 601
 
5.8%
i 601
 
5.8%
b 601
 
5.8%
e 601
 
5.8%
Other values (12) 3187
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6010
57.8%
Decimal Number 2209
 
21.2%
Uppercase Letter 1202
 
11.6%
Space Separator 601
 
5.8%
Other Punctuation 377
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 306
13.9%
3 292
13.2%
1 262
11.9%
4 237
10.7%
6 202
9.1%
5 197
8.9%
8 196
8.9%
7 181
8.2%
9 177
8.0%
0 159
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1202
20.0%
l 1202
20.0%
t 601
10.0%
v 601
10.0%
i 601
10.0%
b 601
10.0%
e 601
10.0%
o 601
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 601
50.0%
A 601
50.0%
Space Separator
ValueCountFrequency (%)
601
100.0%
Other Punctuation
ValueCountFrequency (%)
. 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7212
69.4%
Common 3187
30.6%

Most frequent character per script

Common
ValueCountFrequency (%)
601
18.9%
. 377
11.8%
2 306
9.6%
3 292
9.2%
1 262
8.2%
4 237
 
7.4%
6 202
 
6.3%
5 197
 
6.2%
8 196
 
6.1%
7 181
 
5.7%
Other values (2) 336
10.5%
Latin
ValueCountFrequency (%)
a 1202
16.7%
l 1202
16.7%
N 601
8.3%
t 601
8.3%
A 601
8.3%
v 601
8.3%
i 601
8.3%
b 601
8.3%
e 601
8.3%
o 601
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10399
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1202
 
11.6%
l 1202
 
11.6%
N 601
 
5.8%
t 601
 
5.8%
601
 
5.8%
A 601
 
5.8%
v 601
 
5.8%
i 601
 
5.8%
b 601
 
5.8%
e 601
 
5.8%
Other values (12) 3187
30.6%
Distinct396
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T20:35:10.287888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.119
Min length1

Characters and Unicode

Total characters10119
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)39.0%

Sample

1st row652062
2nd row361245
3rd row221073
4th row360420
5th row1511251
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
272874 2
 
0.1%
15000 2
 
0.1%
50000 2
 
0.1%
286300 2
 
0.1%
10000 2
 
0.1%
621780 1
 
0.1%
213484 1
 
0.1%
242661 1
 
0.1%
Other values (387) 387
24.2%
2023-12-09T20:35:10.862525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
11.9%
l 1200
11.9%
N 600
 
5.9%
o 600
 
5.9%
b 600
 
5.9%
i 600
 
5.9%
e 600
 
5.9%
v 600
 
5.9%
A 600
 
5.9%
600
 
5.9%
Other values (11) 2919
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
59.3%
Decimal Number 2319
 
22.9%
Uppercase Letter 1200
 
11.9%
Space Separator 600
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 301
13.0%
0 296
12.8%
2 263
11.3%
5 237
10.2%
3 234
10.1%
7 221
9.5%
6 211
9.1%
9 199
8.6%
4 182
7.8%
8 175
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
o 600
10.0%
b 600
10.0%
i 600
10.0%
e 600
10.0%
v 600
10.0%
t 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
71.2%
Common 2919
28.8%

Most frequent character per script

Common
ValueCountFrequency (%)
600
20.6%
1 301
10.3%
0 296
10.1%
2 263
9.0%
5 237
 
8.1%
3 234
 
8.0%
7 221
 
7.6%
6 211
 
7.2%
9 199
 
6.8%
4 182
 
6.2%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
o 600
8.3%
b 600
8.3%
i 600
8.3%
e 600
8.3%
v 600
8.3%
A 600
8.3%
t 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
11.9%
l 1200
11.9%
N 600
 
5.9%
o 600
 
5.9%
b 600
 
5.9%
i 600
 
5.9%
e 600
 
5.9%
v 600
 
5.9%
A 600
 
5.9%
600
 
5.9%
Other values (11) 2919
28.8%
Distinct329
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:35:11.392375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.276
Min length1

Characters and Unicode

Total characters9276
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)27.5%

Sample

1st row1700
2nd row1550
3rd row300
4th row1100
5th row6400
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
300 6
 
0.4%
1500 5
 
0.3%
550 5
 
0.3%
2500 4
 
0.2%
250 3
 
0.2%
22 3
 
0.2%
500 3
 
0.2%
1100 3
 
0.2%
Other values (320) 368
23.0%
2023-12-09T20:35:12.032507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
12.9%
l 1200
12.9%
N 600
 
6.5%
t 600
 
6.5%
600
 
6.5%
A 600
 
6.5%
v 600
 
6.5%
i 600
 
6.5%
b 600
 
6.5%
e 600
 
6.5%
Other values (12) 2076
22.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
64.7%
Decimal Number 1417
 
15.3%
Uppercase Letter 1200
 
12.9%
Space Separator 600
 
6.5%
Other Punctuation 59
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 271
19.1%
1 203
14.3%
2 161
11.4%
5 146
10.3%
3 128
9.0%
4 118
8.3%
9 105
 
7.4%
6 98
 
6.9%
7 97
 
6.8%
8 90
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
t 600
10.0%
v 600
10.0%
i 600
10.0%
b 600
10.0%
e 600
10.0%
o 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
77.6%
Common 2076
 
22.4%

Most frequent character per script

Common
ValueCountFrequency (%)
600
28.9%
0 271
13.1%
1 203
 
9.8%
2 161
 
7.8%
5 146
 
7.0%
3 128
 
6.2%
4 118
 
5.7%
9 105
 
5.1%
6 98
 
4.7%
7 97
 
4.7%
Other values (2) 149
 
7.2%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
t 600
8.3%
A 600
8.3%
v 600
8.3%
i 600
8.3%
b 600
8.3%
e 600
8.3%
o 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
12.9%
l 1200
12.9%
N 600
 
6.5%
t 600
 
6.5%
600
 
6.5%
A 600
 
6.5%
v 600
 
6.5%
i 600
 
6.5%
b 600
 
6.5%
e 600
 
6.5%
Other values (12) 2076
22.4%
Distinct339
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:35:12.548538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.268
Min length1

Characters and Unicode

Total characters9268
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)29.5%

Sample

1st row1600
2nd row1400
3rd row300
4th row1000
5th row6500
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
2000 6
 
0.4%
1000 6
 
0.4%
10 4
 
0.2%
1500 4
 
0.2%
3 3
 
0.2%
5000 3
 
0.2%
300 3
 
0.2%
23 3
 
0.2%
Other values (330) 368
23.0%
2023-12-09T20:35:13.203759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
12.9%
l 1200
12.9%
N 600
 
6.5%
t 600
 
6.5%
600
 
6.5%
A 600
 
6.5%
v 600
 
6.5%
i 600
 
6.5%
b 600
 
6.5%
e 600
 
6.5%
Other values (12) 2068
22.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
64.7%
Decimal Number 1408
 
15.2%
Uppercase Letter 1200
 
12.9%
Space Separator 600
 
6.5%
Other Punctuation 60
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 244
17.3%
1 211
15.0%
2 173
12.3%
5 155
11.0%
3 134
9.5%
4 116
8.2%
7 105
7.5%
6 94
 
6.7%
8 93
 
6.6%
9 83
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
t 600
10.0%
v 600
10.0%
i 600
10.0%
b 600
10.0%
e 600
10.0%
o 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
77.7%
Common 2068
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
600
29.0%
0 244
11.8%
1 211
 
10.2%
2 173
 
8.4%
5 155
 
7.5%
3 134
 
6.5%
4 116
 
5.6%
7 105
 
5.1%
6 94
 
4.5%
8 93
 
4.5%
Other values (2) 143
 
6.9%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
t 600
8.3%
A 600
8.3%
v 600
8.3%
i 600
8.3%
b 600
8.3%
e 600
8.3%
o 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
12.9%
l 1200
12.9%
N 600
 
6.5%
t 600
 
6.5%
600
 
6.5%
A 600
 
6.5%
v 600
 
6.5%
i 600
 
6.5%
b 600
 
6.5%
e 600
 
6.5%
Other values (12) 2068
22.3%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:35:13.439405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.035
Min length1

Characters and Unicode

Total characters9035
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
100 368
23.0%
25 5
 
0.3%
99.84 2
 
0.1%
83.75 1
 
0.1%
67.25 1
 
0.1%
82.44 1
 
0.1%
89.48 1
 
0.1%
99.97 1
 
0.1%
Other values (20) 20
 
1.2%
2023-12-09T20:35:13.781025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
13.3%
l 1200
13.3%
0 744
8.2%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
Other values (12) 1691
18.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
66.4%
Decimal Number 1210
 
13.4%
Uppercase Letter 1200
 
13.3%
Space Separator 600
 
6.6%
Other Punctuation 25
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 744
61.5%
1 373
30.8%
9 28
 
2.3%
8 13
 
1.1%
4 10
 
0.8%
7 10
 
0.8%
2 9
 
0.7%
5 9
 
0.7%
6 8
 
0.7%
3 6
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
t 600
10.0%
v 600
10.0%
i 600
10.0%
b 600
10.0%
e 600
10.0%
o 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
79.7%
Common 1835
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 744
40.5%
600
32.7%
1 373
20.3%
9 28
 
1.5%
. 25
 
1.4%
8 13
 
0.7%
4 10
 
0.5%
7 10
 
0.5%
2 9
 
0.5%
5 9
 
0.5%
Other values (2) 14
 
0.8%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
t 600
8.3%
A 600
8.3%
v 600
8.3%
i 600
8.3%
b 600
8.3%
e 600
8.3%
o 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
13.3%
l 1200
13.3%
0 744
8.2%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
Other values (12) 1691
18.7%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:35:14.000370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.042
Min length1

Characters and Unicode

Total characters9042
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
100 370
23.1%
33 3
 
0.2%
90.6 1
 
0.1%
96.93 1
 
0.1%
99.84 1
 
0.1%
85.71 1
 
0.1%
99.97 1
 
0.1%
98.97 1
 
0.1%
Other values (21) 21
 
1.3%
2023-12-09T20:35:14.344480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
13.3%
l 1200
13.3%
0 746
8.3%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
Other values (12) 1696
18.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
66.4%
Decimal Number 1216
 
13.4%
Uppercase Letter 1200
 
13.3%
Space Separator 600
 
6.6%
Other Punctuation 26
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 746
61.3%
1 376
30.9%
9 29
 
2.4%
3 12
 
1.0%
8 12
 
1.0%
4 10
 
0.8%
7 9
 
0.7%
6 9
 
0.7%
5 8
 
0.7%
2 5
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
t 600
10.0%
v 600
10.0%
i 600
10.0%
b 600
10.0%
e 600
10.0%
o 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
79.6%
Common 1842
 
20.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 746
40.5%
600
32.6%
1 376
20.4%
9 29
 
1.6%
. 26
 
1.4%
3 12
 
0.7%
8 12
 
0.7%
4 10
 
0.5%
7 9
 
0.5%
6 9
 
0.5%
Other values (2) 13
 
0.7%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
t 600
8.3%
A 600
8.3%
v 600
8.3%
i 600
8.3%
b 600
8.3%
e 600
8.3%
o 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
13.3%
l 1200
13.3%
0 746
8.3%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
Other values (12) 1696
18.8%
Distinct190
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:35:14.809362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.064
Min length1

Characters and Unicode

Total characters9064
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)16.9%

Sample

1st row90
2nd row65
3rd row65.42
4th row70
5th row98
ValueCountFrequency (%)
not 600
37.5%
available 600
37.5%
65 69
 
4.3%
55 37
 
2.3%
60 34
 
2.1%
50 21
 
1.3%
40 14
 
0.9%
77 9
 
0.6%
70 9
 
0.6%
72 5
 
0.3%
Other values (181) 202
 
12.6%
2023-12-09T20:35:15.410029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1200
13.2%
l 1200
13.2%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
e 600
 
6.6%
Other values (12) 1864
20.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6000
66.2%
Uppercase Letter 1200
 
13.2%
Decimal Number 1108
 
12.2%
Space Separator 600
 
6.6%
Other Punctuation 156
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 265
23.9%
6 209
18.9%
0 114
10.3%
4 107
9.7%
7 91
 
8.2%
8 84
 
7.6%
2 66
 
6.0%
9 62
 
5.6%
1 59
 
5.3%
3 51
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 1200
20.0%
l 1200
20.0%
t 600
10.0%
v 600
10.0%
i 600
10.0%
b 600
10.0%
e 600
10.0%
o 600
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 600
50.0%
A 600
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7200
79.4%
Common 1864
 
20.6%

Most frequent character per script

Common
ValueCountFrequency (%)
600
32.2%
5 265
14.2%
6 209
 
11.2%
. 156
 
8.4%
0 114
 
6.1%
4 107
 
5.7%
7 91
 
4.9%
8 84
 
4.5%
2 66
 
3.5%
9 62
 
3.3%
Other values (2) 110
 
5.9%
Latin
ValueCountFrequency (%)
a 1200
16.7%
l 1200
16.7%
N 600
8.3%
t 600
8.3%
A 600
8.3%
v 600
8.3%
i 600
8.3%
b 600
8.3%
e 600
8.3%
o 600
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1200
13.2%
l 1200
13.2%
N 600
 
6.6%
t 600
 
6.6%
600
 
6.6%
A 600
 
6.6%
v 600
 
6.6%
i 600
 
6.6%
b 600
 
6.6%
e 600
 
6.6%
Other values (12) 1864
20.6%
Distinct378
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2023-12-09T20:35:15.864470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.462
Min length1

Characters and Unicode

Total characters10462
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)37.2%

Sample

1st row2.45375
2nd row3.87549
3rd row1.35702
4th row2.77454
5th row4.30107
ValueCountFrequency (%)
not 601
37.5%
available 601
37.5%
2.3 19
 
1.2%
3.12965 2
 
0.1%
5 2
 
0.1%
0.96053 2
 
0.1%
3.72616 2
 
0.1%
6.37899 1
 
0.1%
2.70237 1
 
0.1%
5.27923 1
 
0.1%
Other values (369) 369
23.0%
2023-12-09T20:35:16.460050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1202
 
11.5%
l 1202
 
11.5%
N 601
 
5.7%
t 601
 
5.7%
601
 
5.7%
A 601
 
5.7%
v 601
 
5.7%
i 601
 
5.7%
b 601
 
5.7%
e 601
 
5.7%
Other values (12) 3250
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6010
57.4%
Decimal Number 2254
 
21.5%
Uppercase Letter 1202
 
11.5%
Space Separator 601
 
5.7%
Other Punctuation 395
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 353
15.7%
1 272
12.1%
3 271
12.0%
4 227
10.1%
5 218
9.7%
6 193
8.6%
7 190
8.4%
9 185
8.2%
8 180
8.0%
0 165
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1202
20.0%
l 1202
20.0%
t 601
10.0%
v 601
10.0%
i 601
10.0%
b 601
10.0%
e 601
10.0%
o 601
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 601
50.0%
A 601
50.0%
Space Separator
ValueCountFrequency (%)
601
100.0%
Other Punctuation
ValueCountFrequency (%)
. 395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7212
68.9%
Common 3250
31.1%

Most frequent character per script

Common
ValueCountFrequency (%)
601
18.5%
. 395
12.2%
2 353
10.9%
1 272
8.4%
3 271
8.3%
4 227
 
7.0%
5 218
 
6.7%
6 193
 
5.9%
7 190
 
5.8%
9 185
 
5.7%
Other values (2) 345
10.6%
Latin
ValueCountFrequency (%)
a 1202
16.7%
l 1202
16.7%
N 601
8.3%
t 601
8.3%
A 601
8.3%
v 601
8.3%
i 601
8.3%
b 601
8.3%
e 601
8.3%
o 601
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1202
 
11.5%
l 1202
 
11.5%
N 601
 
5.7%
t 601
 
5.7%
601
 
5.7%
A 601
 
5.7%
v 601
 
5.7%
i 601
 
5.7%
b 601
 
5.7%
e 601
 
5.7%
Other values (12) 3250
31.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:16.646607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5924 1
 
0.1%
2023-12-09T20:35:16.932664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
9 1
25.0%
2 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
5 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:35:17.160358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.812
Min length4

Characters and Unicode

Total characters12812
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
1349 1
 
0.1%
130000 1
 
0.1%
13230 1
 
0.1%
29262 1
 
0.1%
221187 1
 
0.1%
7560 1
 
0.1%
41483 1
 
0.1%
1000 1
 
0.1%
Other values (15) 15
 
0.8%
2023-12-09T20:35:17.547053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
o 977
7.6%
b 977
7.6%
i 977
7.6%
e 977
7.6%
v 977
7.6%
A 977
7.6%
977
7.6%
Other values (11) 1088
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.3%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.6%
Decimal Number 111
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
33.3%
1 16
14.4%
2 12
 
10.8%
5 10
 
9.0%
4 9
 
8.1%
8 7
 
6.3%
7 7
 
6.3%
3 6
 
5.4%
9 4
 
3.6%
6 3
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
o 977
10.0%
b 977
10.0%
i 977
10.0%
e 977
10.0%
v 977
10.0%
t 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.5%
Common 1088
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
977
89.8%
0 37
 
3.4%
1 16
 
1.5%
2 12
 
1.1%
5 10
 
0.9%
4 9
 
0.8%
8 7
 
0.6%
7 7
 
0.6%
3 6
 
0.6%
9 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
o 977
8.3%
b 977
8.3%
i 977
8.3%
e 977
8.3%
v 977
8.3%
A 977
8.3%
t 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
o 977
7.6%
b 977
7.6%
i 977
7.6%
e 977
7.6%
v 977
7.6%
A 977
7.6%
977
7.6%
Other values (11) 1088
8.5%
Distinct138
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:35:17.964667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.718
Min length1

Characters and Unicode

Total characters11718
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)12.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 852
46.0%
available 852
46.0%
3000 3
 
0.2%
0 3
 
0.2%
4000 3
 
0.2%
7500 2
 
0.1%
5000 2
 
0.1%
9500 2
 
0.1%
30000 2
 
0.1%
2000 2
 
0.1%
Other values (129) 129
 
7.0%
2023-12-09T20:35:18.525617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1704
14.5%
l 1704
14.5%
N 852
7.3%
o 852
7.3%
b 852
7.3%
i 852
7.3%
e 852
7.3%
v 852
7.3%
A 852
7.3%
852
7.3%
Other values (11) 1494
12.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8520
72.7%
Uppercase Letter 1704
 
14.5%
Space Separator 852
 
7.3%
Decimal Number 642
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
23.1%
1 88
13.7%
2 68
10.6%
3 61
9.5%
5 56
 
8.7%
7 52
 
8.1%
4 49
 
7.6%
9 47
 
7.3%
6 39
 
6.1%
8 34
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1704
20.0%
l 1704
20.0%
o 852
10.0%
b 852
10.0%
i 852
10.0%
e 852
10.0%
v 852
10.0%
t 852
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 852
50.0%
A 852
50.0%
Space Separator
ValueCountFrequency (%)
852
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10224
87.3%
Common 1494
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
852
57.0%
0 148
 
9.9%
1 88
 
5.9%
2 68
 
4.6%
3 61
 
4.1%
5 56
 
3.7%
7 52
 
3.5%
4 49
 
3.3%
9 47
 
3.1%
6 39
 
2.6%
Latin
ValueCountFrequency (%)
a 1704
16.7%
l 1704
16.7%
N 852
8.3%
o 852
8.3%
b 852
8.3%
i 852
8.3%
e 852
8.3%
v 852
8.3%
A 852
8.3%
t 852
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1704
14.5%
l 1704
14.5%
N 852
7.3%
o 852
7.3%
b 852
7.3%
i 852
7.3%
e 852
7.3%
v 852
7.3%
A 852
7.3%
852
7.3%
Other values (11) 1494
12.7%
Distinct47
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:35:18.797420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.205
Min length1

Characters and Unicode

Total characters12205
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 923
48.0%
available 923
48.0%
0 7
 
0.4%
60 5
 
0.3%
70 5
 
0.3%
40 5
 
0.3%
50 4
 
0.2%
168 4
 
0.2%
72 3
 
0.2%
55 3
 
0.2%
Other values (38) 41
 
2.1%
2023-12-09T20:35:19.183437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1846
15.1%
l 1846
15.1%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1129
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9230
75.6%
Uppercase Letter 1846
 
15.1%
Space Separator 923
 
7.6%
Decimal Number 190
 
1.6%
Other Punctuation 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
18.9%
5 26
13.7%
6 25
13.2%
1 25
13.2%
7 20
10.5%
4 17
8.9%
2 13
 
6.8%
8 12
 
6.3%
9 12
 
6.3%
3 4
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1846
20.0%
l 1846
20.0%
o 923
10.0%
t 923
10.0%
v 923
10.0%
i 923
10.0%
b 923
10.0%
e 923
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 923
50.0%
A 923
50.0%
Space Separator
ValueCountFrequency (%)
923
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11076
90.7%
Common 1129
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
923
81.8%
0 36
 
3.2%
5 26
 
2.3%
6 25
 
2.2%
1 25
 
2.2%
7 20
 
1.8%
4 17
 
1.5%
. 16
 
1.4%
2 13
 
1.2%
8 12
 
1.1%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1846
16.7%
l 1846
16.7%
N 923
8.3%
o 923
8.3%
t 923
8.3%
A 923
8.3%
v 923
8.3%
i 923
8.3%
b 923
8.3%
e 923
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1846
15.1%
l 1846
15.1%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1129
9.3%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:35:19.403076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.126
Min length1

Characters and Unicode

Total characters12126
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 925
48.1%
available 925
48.1%
0 13
 
0.7%
5 8
 
0.4%
2 7
 
0.4%
10 5
 
0.3%
3 5
 
0.3%
1 5
 
0.3%
9 5
 
0.3%
8 4
 
0.2%
Other values (16) 23
 
1.2%
2023-12-09T20:35:19.739280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1850
15.3%
l 1850
15.3%
N 925
7.6%
o 925
7.6%
t 925
7.6%
925
7.6%
A 925
7.6%
v 925
7.6%
i 925
7.6%
b 925
7.6%
Other values (12) 1026
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9250
76.3%
Uppercase Letter 1850
 
15.3%
Space Separator 925
 
7.6%
Decimal Number 100
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
24.0%
1 16
16.0%
2 13
13.0%
5 12
12.0%
3 9
 
9.0%
8 6
 
6.0%
7 6
 
6.0%
9 5
 
5.0%
6 5
 
5.0%
4 4
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1850
20.0%
l 1850
20.0%
o 925
10.0%
t 925
10.0%
v 925
10.0%
i 925
10.0%
b 925
10.0%
e 925
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 925
50.0%
A 925
50.0%
Space Separator
ValueCountFrequency (%)
925
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11100
91.5%
Common 1026
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
925
90.2%
0 24
 
2.3%
1 16
 
1.6%
2 13
 
1.3%
5 12
 
1.2%
3 9
 
0.9%
8 6
 
0.6%
7 6
 
0.6%
9 5
 
0.5%
6 5
 
0.5%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1850
16.7%
l 1850
16.7%
N 925
8.3%
o 925
8.3%
t 925
8.3%
A 925
8.3%
v 925
8.3%
i 925
8.3%
b 925
8.3%
e 925
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1850
15.3%
l 1850
15.3%
N 925
7.6%
o 925
7.6%
t 925
7.6%
925
7.6%
A 925
7.6%
v 925
7.6%
i 925
7.6%
b 925
7.6%
Other values (12) 1026
8.5%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:35:19.992617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.128
Min length1

Characters and Unicode

Total characters12128
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 923
48.0%
available 923
48.0%
0 10
 
0.5%
3 6
 
0.3%
20 5
 
0.3%
15 4
 
0.2%
5 4
 
0.2%
1 4
 
0.2%
10 3
 
0.2%
7 3
 
0.2%
Other values (29) 38
 
2.0%
2023-12-09T20:35:20.378973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1846
15.2%
l 1846
15.2%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1052
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9230
76.1%
Uppercase Letter 1846
 
15.2%
Space Separator 923
 
7.6%
Decimal Number 128
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
21.1%
1 26
20.3%
2 20
15.6%
5 15
11.7%
3 9
 
7.0%
4 9
 
7.0%
8 7
 
5.5%
7 6
 
4.7%
9 5
 
3.9%
6 4
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1846
20.0%
l 1846
20.0%
o 923
10.0%
t 923
10.0%
v 923
10.0%
i 923
10.0%
b 923
10.0%
e 923
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 923
50.0%
A 923
50.0%
Space Separator
ValueCountFrequency (%)
923
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11076
91.3%
Common 1052
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
923
87.7%
0 27
 
2.6%
1 26
 
2.5%
2 20
 
1.9%
5 15
 
1.4%
3 9
 
0.9%
4 9
 
0.9%
8 7
 
0.7%
7 6
 
0.6%
9 5
 
0.5%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1846
16.7%
l 1846
16.7%
N 923
8.3%
o 923
8.3%
t 923
8.3%
A 923
8.3%
v 923
8.3%
i 923
8.3%
b 923
8.3%
e 923
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1846
15.2%
l 1846
15.2%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1052
8.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:20.560371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:20.844262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:21.022691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1230 1
 
0.1%
2023-12-09T20:35:21.360234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
2 1
25.0%
3 1
25.0%
0 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
1 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:21.540721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:21.822369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:21.987209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:22.271805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:22.442530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
5000 1
 
0.1%
46000 1
 
0.1%
2023-12-09T20:35:22.740058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
5 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
0 6
 
0.6%
5 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1007
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:22.911780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:23.208087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:23.413259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.882
Min length5

Characters and Unicode

Total characters12882
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 984
49.6%
available 984
49.6%
159470 1
 
0.1%
106852 1
 
0.1%
111285 1
 
0.1%
57263 1
 
0.1%
72815 1
 
0.1%
200000 1
 
0.1%
221531 1
 
0.1%
21870 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T20:35:23.759294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1968
15.3%
l 1968
15.3%
N 984
7.6%
o 984
7.6%
b 984
7.6%
i 984
7.6%
e 984
7.6%
v 984
7.6%
A 984
7.6%
984
7.6%
Other values (11) 1074
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9840
76.4%
Uppercase Letter 1968
 
15.3%
Space Separator 984
 
7.6%
Decimal Number 90
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
23.3%
1 12
13.3%
5 11
12.2%
2 11
12.2%
7 8
 
8.9%
6 8
 
8.9%
8 6
 
6.7%
3 5
 
5.6%
4 4
 
4.4%
9 4
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 1968
20.0%
l 1968
20.0%
o 984
10.0%
b 984
10.0%
i 984
10.0%
e 984
10.0%
v 984
10.0%
t 984
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 984
50.0%
A 984
50.0%
Space Separator
ValueCountFrequency (%)
984
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11808
91.7%
Common 1074
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
984
91.6%
0 21
 
2.0%
1 12
 
1.1%
5 11
 
1.0%
2 11
 
1.0%
7 8
 
0.7%
6 8
 
0.7%
8 6
 
0.6%
3 5
 
0.5%
4 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1968
16.7%
l 1968
16.7%
N 984
8.3%
o 984
8.3%
b 984
8.3%
i 984
8.3%
e 984
8.3%
v 984
8.3%
A 984
8.3%
t 984
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1968
15.3%
l 1968
15.3%
N 984
7.6%
o 984
7.6%
b 984
7.6%
i 984
7.6%
e 984
7.6%
v 984
7.6%
A 984
7.6%
984
7.6%
Other values (11) 1074
8.3%
Distinct62
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:35:25.872645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.467
Min length1

Characters and Unicode

Total characters12467
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)6.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 939
48.4%
available 939
48.4%
2068 1
 
0.1%
15889 1
 
0.1%
7038 1
 
0.1%
34454 1
 
0.1%
11843 1
 
0.1%
2516 1
 
0.1%
2010 1
 
0.1%
2100 1
 
0.1%
Other values (53) 53
 
2.7%
2023-12-09T20:35:26.291497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1878
15.1%
l 1878
15.1%
N 939
7.5%
o 939
7.5%
b 939
7.5%
i 939
7.5%
e 939
7.5%
v 939
7.5%
A 939
7.5%
939
7.5%
Other values (11) 1199
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9390
75.3%
Uppercase Letter 1878
 
15.1%
Space Separator 939
 
7.5%
Decimal Number 260
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
24.2%
1 41
15.8%
2 26
10.0%
5 26
10.0%
3 23
 
8.8%
6 21
 
8.1%
8 17
 
6.5%
4 17
 
6.5%
9 15
 
5.8%
7 11
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1878
20.0%
l 1878
20.0%
o 939
10.0%
b 939
10.0%
i 939
10.0%
e 939
10.0%
v 939
10.0%
t 939
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 939
50.0%
A 939
50.0%
Space Separator
ValueCountFrequency (%)
939
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11268
90.4%
Common 1199
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
939
78.3%
0 63
 
5.3%
1 41
 
3.4%
2 26
 
2.2%
5 26
 
2.2%
3 23
 
1.9%
6 21
 
1.8%
8 17
 
1.4%
4 17
 
1.4%
9 15
 
1.3%
Latin
ValueCountFrequency (%)
a 1878
16.7%
l 1878
16.7%
N 939
8.3%
o 939
8.3%
b 939
8.3%
i 939
8.3%
e 939
8.3%
v 939
8.3%
A 939
8.3%
t 939
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12467
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1878
15.1%
l 1878
15.1%
N 939
7.5%
o 939
7.5%
b 939
7.5%
i 939
7.5%
e 939
7.5%
v 939
7.5%
A 939
7.5%
939
7.5%
Other values (11) 1199
9.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:26.480280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:26.763581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:26.974577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.873
Min length3

Characters and Unicode

Total characters12873
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
113886 1
 
0.1%
255084 1
 
0.1%
203865 1
 
0.1%
177093 1
 
0.1%
193270 1
 
0.1%
215814 1
 
0.1%
131835 1
 
0.1%
109109 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:35:27.310238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1077
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.4%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 94
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
20.2%
0 12
12.8%
8 10
10.6%
5 10
10.6%
6 9
9.6%
9 8
8.5%
2 8
8.5%
3 8
8.5%
4 7
 
7.4%
7 3
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.6%
Common 1077
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
983
91.3%
1 19
 
1.8%
0 12
 
1.1%
8 10
 
0.9%
5 10
 
0.9%
6 9
 
0.8%
9 8
 
0.7%
2 8
 
0.7%
3 8
 
0.7%
4 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1077
8.4%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:27.505926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.911
Min length4

Characters and Unicode

Total characters12911
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 988
49.7%
available 988
49.7%
381993 2
 
0.1%
211000 1
 
0.1%
72820 1
 
0.1%
275000 1
 
0.1%
53856 1
 
0.1%
159572 1
 
0.1%
1000 1
 
0.1%
111762 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:35:27.812531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.7%
o 988
7.7%
b 988
7.7%
i 988
7.7%
e 988
7.7%
v 988
7.7%
A 988
7.7%
988
7.7%
Other values (11) 1055
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9880
76.5%
Uppercase Letter 1976
 
15.3%
Space Separator 988
 
7.7%
Decimal Number 67
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
19.4%
1 12
17.9%
7 7
10.4%
3 6
9.0%
8 6
9.0%
2 6
9.0%
5 6
9.0%
9 5
 
7.5%
6 4
 
6.0%
4 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1976
20.0%
l 1976
20.0%
o 988
10.0%
b 988
10.0%
i 988
10.0%
e 988
10.0%
v 988
10.0%
t 988
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 988
50.0%
A 988
50.0%
Space Separator
ValueCountFrequency (%)
988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11856
91.8%
Common 1055
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
988
93.6%
0 13
 
1.2%
1 12
 
1.1%
7 7
 
0.7%
3 6
 
0.6%
8 6
 
0.6%
2 6
 
0.6%
5 6
 
0.6%
9 5
 
0.5%
6 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1976
16.7%
l 1976
16.7%
N 988
8.3%
o 988
8.3%
b 988
8.3%
i 988
8.3%
e 988
8.3%
v 988
8.3%
A 988
8.3%
t 988
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.7%
o 988
7.7%
b 988
7.7%
i 988
7.7%
e 988
7.7%
v 988
7.7%
A 988
7.7%
988
7.7%
Other values (11) 1055
8.2%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:27.999923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.918
Min length1

Characters and Unicode

Total characters12918
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
3550 1
 
0.1%
3600 1
 
0.1%
4774 1
 
0.1%
10805 1
 
0.1%
69019 1
 
0.1%
9060 1
 
0.1%
0 1
 
0.1%
4500 1
 
0.1%
2023-12-09T20:35:28.308347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (11) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.7%
Uppercase Letter 1982
 
15.3%
Space Separator 991
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
34.3%
5 5
14.3%
3 3
 
8.6%
6 3
 
8.6%
4 3
 
8.6%
9 3
 
8.6%
7 2
 
5.7%
1 2
 
5.7%
8 1
 
2.9%
2 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
o 991
10.0%
b 991
10.0%
i 991
10.0%
e 991
10.0%
v 991
10.0%
t 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
991
96.6%
0 12
 
1.2%
5 5
 
0.5%
3 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
9 3
 
0.3%
7 2
 
0.2%
1 2
 
0.2%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
o 991
8.3%
b 991
8.3%
i 991
8.3%
e 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (11) 1026
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:28.507483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:28.848236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:29.015758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:29.302329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:29.468127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:29.740107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:35:29.947125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.824
Min length3

Characters and Unicode

Total characters12824
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
4758 1
 
0.1%
2645 1
 
0.1%
23150 1
 
0.1%
900 1
 
0.1%
1000 1
 
0.1%
11150 1
 
0.1%
20000 1
 
0.1%
60000 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T20:35:30.275899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.6%
o 980
7.6%
b 980
7.6%
i 980
7.6%
e 980
7.6%
v 980
7.6%
A 980
7.6%
980
7.6%
Other values (11) 1064
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.4%
Uppercase Letter 1960
 
15.3%
Space Separator 980
 
7.6%
Decimal Number 84
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
36.9%
5 13
15.5%
1 12
 
14.3%
7 6
 
7.1%
2 6
 
7.1%
8 4
 
4.8%
6 4
 
4.8%
9 3
 
3.6%
4 3
 
3.6%
3 2
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
b 980
10.0%
i 980
10.0%
e 980
10.0%
v 980
10.0%
t 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.7%
Common 1064
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
980
92.1%
0 31
 
2.9%
5 13
 
1.2%
1 12
 
1.1%
7 6
 
0.6%
2 6
 
0.6%
8 4
 
0.4%
6 4
 
0.4%
9 3
 
0.3%
4 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
b 980
8.3%
i 980
8.3%
e 980
8.3%
v 980
8.3%
A 980
8.3%
t 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.6%
o 980
7.6%
b 980
7.6%
i 980
7.6%
e 980
7.6%
v 980
7.6%
A 980
7.6%
980
7.6%
Other values (11) 1064
8.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:30.449800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:30.723931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:30.887033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:31.160198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:31.326487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:31.604338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:31.771572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
85082 1
 
0.1%
2023-12-09T20:35:32.074596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
8 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:32.251194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.974
Min length4

Characters and Unicode

Total characters12974
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
4200 1
 
0.1%
1021 1
 
0.1%
10411 1
 
0.1%
2023-12-09T20:35:32.536664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
0 4
30.8%
4 2
 
15.4%
2 2
 
15.4%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
98.7%
1 5
 
0.5%
0 4
 
0.4%
4 2
 
0.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (5) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:32.705921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:33.018411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct430
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:35:33.372146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.551
Min length1

Characters and Unicode

Total characters5551
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique428 ?
Unique (%)42.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 468
42.4%
available 104
 
9.4%
not 104
 
9.4%
394089.62 1
 
0.1%
185606.29 1
 
0.1%
1483580.69 1
 
0.1%
4954872.89 1
 
0.1%
591522.36 1
 
0.1%
156190.17 1
 
0.1%
1517009.67 1
 
0.1%
Other values (421) 421
38.1%
2023-12-09T20:35:33.879159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 717
12.9%
. 423
 
7.6%
1 408
 
7.4%
3 372
 
6.7%
2 370
 
6.7%
6 345
 
6.2%
4 341
 
6.1%
5 337
 
6.1%
8 318
 
5.7%
7 300
 
5.4%
Other values (12) 1620
29.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3776
68.0%
Lowercase Letter 1040
 
18.7%
Other Punctuation 423
 
7.6%
Uppercase Letter 208
 
3.7%
Space Separator 104
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 717
19.0%
1 408
10.8%
3 372
9.9%
2 370
9.8%
6 345
9.1%
4 341
9.0%
5 337
8.9%
8 318
8.4%
7 300
7.9%
9 268
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
l 208
20.0%
a 208
20.0%
b 104
10.0%
i 104
10.0%
v 104
10.0%
t 104
10.0%
o 104
10.0%
e 104
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 104
50.0%
A 104
50.0%
Other Punctuation
ValueCountFrequency (%)
. 423
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4303
77.5%
Latin 1248
 
22.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 717
16.7%
. 423
9.8%
1 408
9.5%
3 372
8.6%
2 370
8.6%
6 345
8.0%
4 341
7.9%
5 337
7.8%
8 318
7.4%
7 300
7.0%
Other values (2) 372
8.6%
Latin
ValueCountFrequency (%)
l 208
16.7%
a 208
16.7%
N 104
8.3%
b 104
8.3%
i 104
8.3%
v 104
8.3%
A 104
8.3%
t 104
8.3%
o 104
8.3%
e 104
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 717
12.9%
. 423
 
7.6%
1 408
 
7.4%
3 372
 
6.7%
2 370
 
6.7%
6 345
 
6.2%
4 341
 
6.1%
5 337
 
6.1%
8 318
 
5.7%
7 300
 
5.4%
Other values (12) 1620
29.2%
Distinct429
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:35:34.217333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.758
Min length1

Characters and Unicode

Total characters5758
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique426 ?
Unique (%)42.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 467
42.3%
available 105
 
9.5%
not 105
 
9.5%
11.000001 2
 
0.2%
2.984362 1
 
0.1%
1.008596646 1
 
0.1%
1.67191556 1
 
0.1%
2.396861 1
 
0.1%
1.601093 1
 
0.1%
3.4478773 1
 
0.1%
Other values (420) 420
38.0%
2023-12-09T20:35:34.705049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 947
16.4%
1 457
 
7.9%
. 428
 
7.4%
2 400
 
6.9%
3 381
 
6.6%
6 336
 
5.8%
4 321
 
5.6%
7 291
 
5.1%
9 283
 
4.9%
5 280
 
4.9%
Other values (12) 1634
28.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3965
68.9%
Lowercase Letter 1050
 
18.2%
Other Punctuation 428
 
7.4%
Uppercase Letter 210
 
3.6%
Space Separator 105
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 947
23.9%
1 457
11.5%
2 400
10.1%
3 381
9.6%
6 336
 
8.5%
4 321
 
8.1%
7 291
 
7.3%
9 283
 
7.1%
5 280
 
7.1%
8 269
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 210
20.0%
l 210
20.0%
v 105
10.0%
i 105
10.0%
b 105
10.0%
t 105
10.0%
o 105
10.0%
e 105
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 105
50.0%
A 105
50.0%
Other Punctuation
ValueCountFrequency (%)
. 428
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4498
78.1%
Latin 1260
 
21.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 947
21.1%
1 457
10.2%
. 428
9.5%
2 400
8.9%
3 381
8.5%
6 336
 
7.5%
4 321
 
7.1%
7 291
 
6.5%
9 283
 
6.3%
5 280
 
6.2%
Other values (2) 374
 
8.3%
Latin
ValueCountFrequency (%)
a 210
16.7%
l 210
16.7%
v 105
8.3%
i 105
8.3%
b 105
8.3%
N 105
8.3%
A 105
8.3%
t 105
8.3%
o 105
8.3%
e 105
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 947
16.4%
1 457
 
7.9%
. 428
 
7.4%
2 400
 
6.9%
3 381
 
6.6%
6 336
 
5.8%
4 321
 
5.6%
7 291
 
5.1%
9 283
 
4.9%
5 280
 
4.9%
Other values (12) 1634
28.4%
Distinct236
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:35:35.074820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.489
Min length1

Characters and Unicode

Total characters9489
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)23.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
not 550
35.5%
available 550
35.5%
0 216
 
13.9%
2361858.14 1
 
0.1%
2428243.76 1
 
0.1%
3423.31 1
 
0.1%
158865.54 1
 
0.1%
1382116.15 1
 
0.1%
514840.88 1
 
0.1%
1519791.64 1
 
0.1%
Other values (227) 227
14.6%
2023-12-09T20:35:35.568949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1100
 
11.6%
l 1100
 
11.6%
N 550
 
5.8%
o 550
 
5.8%
t 550
 
5.8%
550
 
5.8%
A 550
 
5.8%
v 550
 
5.8%
i 550
 
5.8%
b 550
 
5.8%
Other values (12) 2889
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5500
58.0%
Decimal Number 2108
 
22.2%
Uppercase Letter 1100
 
11.6%
Space Separator 550
 
5.8%
Other Punctuation 231
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
16.2%
1 260
12.3%
4 219
10.4%
9 199
9.4%
2 197
9.3%
5 192
9.1%
3 182
8.6%
6 179
8.5%
7 170
8.1%
8 168
8.0%
Lowercase Letter
ValueCountFrequency (%)
a 1100
20.0%
l 1100
20.0%
o 550
10.0%
t 550
10.0%
v 550
10.0%
i 550
10.0%
b 550
10.0%
e 550
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 550
50.0%
A 550
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6600
69.6%
Common 2889
30.4%

Most frequent character per script

Common
ValueCountFrequency (%)
550
19.0%
0 342
11.8%
1 260
9.0%
. 231
8.0%
4 219
 
7.6%
9 199
 
6.9%
2 197
 
6.8%
5 192
 
6.6%
3 182
 
6.3%
6 179
 
6.2%
Other values (2) 338
11.7%
Latin
ValueCountFrequency (%)
a 1100
16.7%
l 1100
16.7%
N 550
8.3%
o 550
8.3%
t 550
8.3%
A 550
8.3%
v 550
8.3%
i 550
8.3%
b 550
8.3%
e 550
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1100
 
11.6%
l 1100
 
11.6%
N 550
 
5.8%
o 550
 
5.8%
t 550
 
5.8%
550
 
5.8%
A 550
 
5.8%
v 550
 
5.8%
i 550
 
5.8%
b 550
 
5.8%
Other values (12) 2889
30.4%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:35:35.723520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.029
Min length1

Characters and Unicode

Total characters1029
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 994
99.4%
78680 1
 
0.1%
223938 1
 
0.1%
416191 1
 
0.1%
763384 1
 
0.1%
67737 1
 
0.1%
1304260 1
 
0.1%
2023-12-09T20:35:35.988098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 997
96.9%
3 6
 
0.6%
7 5
 
0.5%
6 5
 
0.5%
8 4
 
0.4%
1 4
 
0.4%
2 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1029
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 997
96.9%
3 6
 
0.6%
7 5
 
0.5%
6 5
 
0.5%
8 4
 
0.4%
1 4
 
0.4%
2 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1029
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 997
96.9%
3 6
 
0.6%
7 5
 
0.5%
6 5
 
0.5%
8 4
 
0.4%
1 4
 
0.4%
2 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 997
96.9%
3 6
 
0.6%
7 5
 
0.5%
6 5
 
0.5%
8 4
 
0.4%
1 4
 
0.4%
2 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:35:36.118912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.065
Min length1

Characters and Unicode

Total characters1065
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 990
98.6%
not 4
 
0.4%
available 4
 
0.4%
1.75 1
 
0.1%
0.06 1
 
0.1%
0.75 1
 
0.1%
0.44 1
 
0.1%
0.42 1
 
0.1%
0.2 1
 
0.1%
2023-12-09T20:35:36.367592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 996
93.5%
a 8
 
0.8%
l 8
 
0.8%
. 6
 
0.6%
t 4
 
0.4%
4
 
0.4%
A 4
 
0.4%
v 4
 
0.4%
o 4
 
0.4%
i 4
 
0.4%
Other values (9) 23
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1007
94.6%
Lowercase Letter 40
 
3.8%
Uppercase Letter 8
 
0.8%
Other Punctuation 6
 
0.6%
Space Separator 4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
20.0%
l 8
20.0%
t 4
10.0%
v 4
10.0%
o 4
10.0%
i 4
10.0%
b 4
10.0%
e 4
10.0%
Decimal Number
ValueCountFrequency (%)
0 996
98.9%
4 3
 
0.3%
7 2
 
0.2%
5 2
 
0.2%
2 2
 
0.2%
1 1
 
0.1%
6 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
50.0%
N 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1017
95.5%
Latin 48
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
16.7%
l 8
16.7%
t 4
8.3%
A 4
8.3%
v 4
8.3%
o 4
8.3%
i 4
8.3%
N 4
8.3%
b 4
8.3%
e 4
8.3%
Common
ValueCountFrequency (%)
0 996
97.9%
. 6
 
0.6%
4
 
0.4%
4 3
 
0.3%
7 2
 
0.2%
5 2
 
0.2%
2 2
 
0.2%
1 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 996
93.5%
a 8
 
0.8%
l 8
 
0.8%
. 6
 
0.6%
t 4
 
0.4%
4
 
0.4%
A 4
 
0.4%
v 4
 
0.4%
o 4
 
0.4%
i 4
 
0.4%
Other values (9) 23
 
2.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:35:36.493303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.009
Min length1

Characters and Unicode

Total characters1009
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 998
99.8%
109324 1
 
0.1%
30975 1
 
0.1%
2023-12-09T20:35:36.734910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1000
99.1%
9 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1009
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1000
99.1%
9 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1000
99.1%
9 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1000
99.1%
9 2
 
0.2%
3 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:35:36.858168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.054
Min length1

Characters and Unicode

Total characters1054
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 994
99.0%
not 4
 
0.4%
available 4
 
0.4%
0.34 1
 
0.1%
0.46 1
 
0.1%
2023-12-09T20:35:37.097618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 996
94.5%
a 8
 
0.8%
l 8
 
0.8%
N 4
 
0.4%
o 4
 
0.4%
t 4
 
0.4%
4
 
0.4%
A 4
 
0.4%
v 4
 
0.4%
i 4
 
0.4%
Other values (6) 14
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
94.9%
Lowercase Letter 40
 
3.8%
Uppercase Letter 8
 
0.8%
Space Separator 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
20.0%
l 8
20.0%
o 4
10.0%
t 4
10.0%
v 4
10.0%
i 4
10.0%
b 4
10.0%
e 4
10.0%
Decimal Number
ValueCountFrequency (%)
0 996
99.6%
4 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
A 4
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
95.4%
Latin 48
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
16.7%
l 8
16.7%
N 4
8.3%
o 4
8.3%
t 4
8.3%
A 4
8.3%
v 4
8.3%
i 4
8.3%
b 4
8.3%
e 4
8.3%
Common
ValueCountFrequency (%)
0 996
99.0%
4
 
0.4%
. 2
 
0.2%
4 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 996
94.5%
a 8
 
0.8%
l 8
 
0.8%
N 4
 
0.4%
o 4
 
0.4%
t 4
 
0.4%
4
 
0.4%
A 4
 
0.4%
v 4
 
0.4%
i 4
 
0.4%
Other values (6) 14
 
1.3%
Distinct275
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T20:35:37.372976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length4.431
Min length1

Characters and Unicode

Total characters4431
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)27.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 658
61.6%
available 69
 
6.5%
not 69
 
6.5%
1886219.188 1
 
0.1%
3322347.226 1
 
0.1%
416507.5017 1
 
0.1%
36623.38466 1
 
0.1%
7275.23763 1
 
0.1%
80486.15476 1
 
0.1%
339515.226 1
 
0.1%
Other values (266) 266
24.9%
2023-12-09T20:35:37.784564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 864
19.5%
2 298
 
6.7%
1 294
 
6.6%
6 276
 
6.2%
. 273
 
6.2%
4 268
 
6.0%
3 267
 
6.0%
5 258
 
5.8%
7 248
 
5.6%
8 247
 
5.6%
Other values (12) 1138
25.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3261
73.6%
Lowercase Letter 690
 
15.6%
Other Punctuation 273
 
6.2%
Uppercase Letter 138
 
3.1%
Space Separator 69
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 864
26.5%
2 298
 
9.1%
1 294
 
9.0%
6 276
 
8.5%
4 268
 
8.2%
3 267
 
8.2%
5 258
 
7.9%
7 248
 
7.6%
8 247
 
7.6%
9 241
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 138
20.0%
a 138
20.0%
b 69
10.0%
i 69
10.0%
v 69
10.0%
t 69
10.0%
o 69
10.0%
e 69
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 69
50.0%
A 69
50.0%
Other Punctuation
ValueCountFrequency (%)
. 273
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3603
81.3%
Latin 828
 
18.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 864
24.0%
2 298
 
8.3%
1 294
 
8.2%
6 276
 
7.7%
. 273
 
7.6%
4 268
 
7.4%
3 267
 
7.4%
5 258
 
7.2%
7 248
 
6.9%
8 247
 
6.9%
Other values (2) 310
 
8.6%
Latin
ValueCountFrequency (%)
l 138
16.7%
a 138
16.7%
b 69
8.3%
N 69
8.3%
i 69
8.3%
v 69
8.3%
A 69
8.3%
t 69
8.3%
o 69
8.3%
e 69
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 864
19.5%
2 298
 
6.7%
1 294
 
6.6%
6 276
 
6.2%
. 273
 
6.2%
4 268
 
6.0%
3 267
 
6.0%
5 258
 
5.8%
7 248
 
5.6%
8 247
 
5.6%
Other values (12) 1138
25.7%
Distinct258
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2023-12-09T20:35:38.097072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.752
Min length1

Characters and Unicode

Total characters6752
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)25.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row0
ValueCountFrequency (%)
0 471
37.0%
available 273
21.4%
not 273
21.4%
14536.76484 1
 
0.1%
33256.19626 1
 
0.1%
2706.54975 1
 
0.1%
2517.864608 1
 
0.1%
67752.87875 1
 
0.1%
13778.90409 1
 
0.1%
21670.85107 1
 
0.1%
Other values (249) 249
19.6%
2023-12-09T20:35:38.534855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 687
 
10.2%
l 546
 
8.1%
a 546
 
8.1%
1 292
 
4.3%
2 285
 
4.2%
i 273
 
4.0%
N 273
 
4.0%
b 273
 
4.0%
e 273
 
4.0%
v 273
 
4.0%
Other values (12) 3031
44.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2947
43.6%
Lowercase Letter 2730
40.4%
Uppercase Letter 546
 
8.1%
Space Separator 273
 
4.0%
Other Punctuation 256
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 687
23.3%
1 292
9.9%
2 285
9.7%
3 270
 
9.2%
4 243
 
8.2%
6 243
 
8.2%
9 237
 
8.0%
5 236
 
8.0%
8 233
 
7.9%
7 221
 
7.5%
Lowercase Letter
ValueCountFrequency (%)
l 546
20.0%
a 546
20.0%
i 273
10.0%
b 273
10.0%
e 273
10.0%
v 273
10.0%
t 273
10.0%
o 273
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 273
50.0%
A 273
50.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Other Punctuation
ValueCountFrequency (%)
. 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3476
51.5%
Latin 3276
48.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 687
19.8%
1 292
8.4%
2 285
8.2%
273
 
7.9%
3 270
 
7.8%
. 256
 
7.4%
4 243
 
7.0%
6 243
 
7.0%
9 237
 
6.8%
5 236
 
6.8%
Other values (2) 454
13.1%
Latin
ValueCountFrequency (%)
l 546
16.7%
a 546
16.7%
i 273
8.3%
N 273
8.3%
b 273
8.3%
e 273
8.3%
v 273
8.3%
A 273
8.3%
t 273
8.3%
o 273
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 687
 
10.2%
l 546
 
8.1%
a 546
 
8.1%
1 292
 
4.3%
2 285
 
4.2%
i 273
 
4.0%
N 273
 
4.0%
b 273
 
4.0%
e 273
 
4.0%
v 273
 
4.0%
Other values (12) 3031
44.9%
Distinct44
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:35:38.823794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.838
Min length1

Characters and Unicode

Total characters11838
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)4.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 870
46.5%
available 870
46.5%
0 88
 
4.7%
218247.3159 1
 
0.1%
61315.9359 1
 
0.1%
102549.6839 1
 
0.1%
5017.9188 1
 
0.1%
85765.89595 1
 
0.1%
254447.9331 1
 
0.1%
179389.0763 1
 
0.1%
Other values (35) 35
 
1.9%
2023-12-09T20:35:39.244853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1740
14.7%
l 1740
14.7%
N 870
7.3%
o 870
7.3%
t 870
7.3%
870
7.3%
A 870
7.3%
v 870
7.3%
i 870
7.3%
b 870
7.3%
Other values (12) 1398
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8700
73.5%
Uppercase Letter 1740
 
14.7%
Space Separator 870
 
7.3%
Decimal Number 486
 
4.1%
Other Punctuation 42
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
25.1%
1 61
12.6%
9 53
10.9%
7 40
 
8.2%
2 38
 
7.8%
3 38
 
7.8%
8 36
 
7.4%
4 34
 
7.0%
5 33
 
6.8%
6 31
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1740
20.0%
l 1740
20.0%
o 870
10.0%
t 870
10.0%
v 870
10.0%
i 870
10.0%
b 870
10.0%
e 870
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 870
50.0%
A 870
50.0%
Space Separator
ValueCountFrequency (%)
870
100.0%
Other Punctuation
ValueCountFrequency (%)
. 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10440
88.2%
Common 1398
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
870
62.2%
0 122
 
8.7%
1 61
 
4.4%
9 53
 
3.8%
. 42
 
3.0%
7 40
 
2.9%
2 38
 
2.7%
3 38
 
2.7%
8 36
 
2.6%
4 34
 
2.4%
Other values (2) 64
 
4.6%
Latin
ValueCountFrequency (%)
a 1740
16.7%
l 1740
16.7%
N 870
8.3%
o 870
8.3%
t 870
8.3%
A 870
8.3%
v 870
8.3%
i 870
8.3%
b 870
8.3%
e 870
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1740
14.7%
l 1740
14.7%
N 870
7.3%
o 870
7.3%
t 870
7.3%
870
7.3%
A 870
7.3%
v 870
7.3%
i 870
7.3%
b 870
7.3%
Other values (12) 1398
11.8%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:35:39.506134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.215
Min length1

Characters and Unicode

Total characters12215
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 912
47.7%
available 912
47.7%
0 59
 
3.1%
43844.84723 1
 
0.1%
45696.5593 1
 
0.1%
326635.2332 1
 
0.1%
83013.071 1
 
0.1%
243543.4282 1
 
0.1%
22307.5812 1
 
0.1%
82500.8614 1
 
0.1%
Other values (22) 22
 
1.2%
2023-12-09T20:35:39.876873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1824
14.9%
l 1824
14.9%
N 912
7.5%
o 912
7.5%
t 912
7.5%
912
7.5%
A 912
7.5%
v 912
7.5%
i 912
7.5%
b 912
7.5%
Other values (12) 1271
10.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9120
74.7%
Uppercase Letter 1824
 
14.9%
Space Separator 912
 
7.5%
Decimal Number 330
 
2.7%
Other Punctuation 29
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
25.5%
3 43
13.0%
2 33
 
10.0%
5 29
 
8.8%
1 29
 
8.8%
6 26
 
7.9%
4 24
 
7.3%
8 22
 
6.7%
9 22
 
6.7%
7 18
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1824
20.0%
l 1824
20.0%
o 912
10.0%
t 912
10.0%
v 912
10.0%
i 912
10.0%
b 912
10.0%
e 912
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 912
50.0%
A 912
50.0%
Space Separator
ValueCountFrequency (%)
912
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10944
89.6%
Common 1271
 
10.4%

Most frequent character per script

Common
ValueCountFrequency (%)
912
71.8%
0 84
 
6.6%
3 43
 
3.4%
2 33
 
2.6%
5 29
 
2.3%
. 29
 
2.3%
1 29
 
2.3%
6 26
 
2.0%
4 24
 
1.9%
8 22
 
1.7%
Other values (2) 40
 
3.1%
Latin
ValueCountFrequency (%)
a 1824
16.7%
l 1824
16.7%
N 912
8.3%
o 912
8.3%
t 912
8.3%
A 912
8.3%
v 912
8.3%
i 912
8.3%
b 912
8.3%
e 912
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1824
14.9%
l 1824
14.9%
N 912
7.5%
o 912
7.5%
t 912
7.5%
912
7.5%
A 912
7.5%
v 912
7.5%
i 912
7.5%
b 912
7.5%
Other values (12) 1271
10.4%
Distinct42
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:35:40.144816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.871
Min length1

Characters and Unicode

Total characters11871
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)3.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 874
46.6%
available 874
46.6%
0 85
 
4.5%
211900.0807 2
 
0.1%
34664.9194 1
 
0.1%
137826.8859 1
 
0.1%
338535.7185 1
 
0.1%
283.320005 1
 
0.1%
195190.825 1
 
0.1%
91634.801 1
 
0.1%
Other values (33) 33
 
1.8%
2023-12-09T20:35:40.544775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1383
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8740
73.6%
Uppercase Letter 1748
 
14.7%
Space Separator 874
 
7.4%
Decimal Number 468
 
3.9%
Other Punctuation 41
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
27.6%
1 48
 
10.3%
2 42
 
9.0%
8 41
 
8.8%
9 38
 
8.1%
3 38
 
8.1%
6 36
 
7.7%
4 34
 
7.3%
5 32
 
6.8%
7 30
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1748
20.0%
l 1748
20.0%
o 874
10.0%
t 874
10.0%
v 874
10.0%
i 874
10.0%
b 874
10.0%
e 874
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 874
50.0%
A 874
50.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Other Punctuation
ValueCountFrequency (%)
. 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10488
88.3%
Common 1383
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
874
63.2%
0 129
 
9.3%
1 48
 
3.5%
2 42
 
3.0%
. 41
 
3.0%
8 41
 
3.0%
9 38
 
2.7%
3 38
 
2.7%
6 36
 
2.6%
4 34
 
2.5%
Other values (2) 62
 
4.5%
Latin
ValueCountFrequency (%)
a 1748
16.7%
l 1748
16.7%
N 874
8.3%
o 874
8.3%
t 874
8.3%
A 874
8.3%
v 874
8.3%
i 874
8.3%
b 874
8.3%
e 874
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1748
14.7%
l 1748
14.7%
N 874
7.4%
o 874
7.4%
t 874
7.4%
874
7.4%
A 874
7.4%
v 874
7.4%
i 874
7.4%
b 874
7.4%
Other values (12) 1383
11.7%
Distinct145
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T20:35:40.905173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.124
Min length1

Characters and Unicode

Total characters11124
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)14.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
not 727
42.1%
available 727
42.1%
0 130
 
7.5%
2563584.874 1
 
0.1%
620009.8895 1
 
0.1%
54128.20031 1
 
0.1%
99992.1751 1
 
0.1%
37436.94195 1
 
0.1%
326343.9387 1
 
0.1%
140478.6413 1
 
0.1%
Other values (136) 136
 
7.9%
2023-12-09T20:35:41.403896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1454
13.1%
l 1454
13.1%
N 727
 
6.5%
o 727
 
6.5%
t 727
 
6.5%
727
 
6.5%
A 727
 
6.5%
v 727
 
6.5%
i 727
 
6.5%
b 727
 
6.5%
Other values (12) 2400
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7270
65.4%
Decimal Number 1530
 
13.8%
Uppercase Letter 1454
 
13.1%
Space Separator 727
 
6.5%
Other Punctuation 143
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 239
15.6%
1 179
11.7%
4 155
10.1%
2 145
9.5%
3 141
9.2%
5 140
9.2%
8 136
8.9%
7 135
8.8%
9 130
8.5%
6 130
8.5%
Lowercase Letter
ValueCountFrequency (%)
a 1454
20.0%
l 1454
20.0%
o 727
10.0%
t 727
10.0%
v 727
10.0%
i 727
10.0%
b 727
10.0%
e 727
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 727
50.0%
A 727
50.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Other Punctuation
ValueCountFrequency (%)
. 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8724
78.4%
Common 2400
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
727
30.3%
0 239
 
10.0%
1 179
 
7.5%
4 155
 
6.5%
2 145
 
6.0%
. 143
 
6.0%
3 141
 
5.9%
5 140
 
5.8%
8 136
 
5.7%
7 135
 
5.6%
Other values (2) 260
 
10.8%
Latin
ValueCountFrequency (%)
a 1454
16.7%
l 1454
16.7%
N 727
8.3%
o 727
8.3%
t 727
8.3%
A 727
8.3%
v 727
8.3%
i 727
8.3%
b 727
8.3%
e 727
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1454
13.1%
l 1454
13.1%
N 727
 
6.5%
o 727
 
6.5%
t 727
 
6.5%
727
 
6.5%
A 727
 
6.5%
v 727
 
6.5%
i 727
 
6.5%
b 727
 
6.5%
Other values (12) 2400
21.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:41.588962image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:41.868181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:42.037638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:42.321538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:35:42.523334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.372
Min length1

Characters and Unicode

Total characters12372
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 937
48.4%
available 937
48.4%
0 50
 
2.6%
1698700.005 1
 
0.1%
112774.7335 1
 
0.1%
108432.6426 1
 
0.1%
11575.60351 1
 
0.1%
26167.50828 1
 
0.1%
3420.510011 1
 
0.1%
337.180024 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:35:42.850444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1874
15.1%
l 1874
15.1%
N 937
7.6%
o 937
7.6%
t 937
7.6%
937
7.6%
A 937
7.6%
v 937
7.6%
i 937
7.6%
b 937
7.6%
Other values (12) 1128
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9370
75.7%
Uppercase Letter 1874
 
15.1%
Space Separator 937
 
7.6%
Decimal Number 178
 
1.4%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
38.8%
1 21
 
11.8%
7 14
 
7.9%
5 13
 
7.3%
3 13
 
7.3%
4 12
 
6.7%
6 11
 
6.2%
9 9
 
5.1%
2 9
 
5.1%
8 7
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1874
20.0%
l 1874
20.0%
o 937
10.0%
t 937
10.0%
v 937
10.0%
i 937
10.0%
b 937
10.0%
e 937
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 937
50.0%
A 937
50.0%
Space Separator
ValueCountFrequency (%)
937
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11244
90.9%
Common 1128
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
937
83.1%
0 69
 
6.1%
1 21
 
1.9%
7 14
 
1.2%
. 13
 
1.2%
5 13
 
1.2%
3 13
 
1.2%
4 12
 
1.1%
6 11
 
1.0%
9 9
 
0.8%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1874
16.7%
l 1874
16.7%
N 937
8.3%
o 937
8.3%
t 937
8.3%
A 937
8.3%
v 937
8.3%
i 937
8.3%
b 937
8.3%
e 937
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1874
15.1%
l 1874
15.1%
N 937
7.6%
o 937
7.6%
t 937
7.6%
937
7.6%
A 937
7.6%
v 937
7.6%
i 937
7.6%
b 937
7.6%
Other values (12) 1128
9.1%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:35:43.035417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.859
Min length1

Characters and Unicode

Total characters12859
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
0 11
 
0.6%
59518.2766 1
 
0.1%
30414.59128 1
 
0.1%
2574.964002 1
 
0.1%
63491.62422 1
 
0.1%
2023-12-09T20:35:43.359805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (12) 1039
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.6%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 50
 
0.4%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
28.0%
2 7
14.0%
4 6
12.0%
6 5
 
10.0%
5 4
 
8.0%
9 4
 
8.0%
1 4
 
8.0%
8 2
 
4.0%
7 2
 
4.0%
3 2
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.9%
Common 1039
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
985
94.8%
0 14
 
1.3%
2 7
 
0.7%
4 6
 
0.6%
6 5
 
0.5%
5 4
 
0.4%
9 4
 
0.4%
1 4
 
0.4%
. 4
 
0.4%
8 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (12) 1039
8.1%
Distinct49
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:35:43.660806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.336
Min length1

Characters and Unicode

Total characters9336
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)4.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 663
39.9%
available 663
39.9%
0 290
17.4%
0.1555621 1
 
0.1%
0.2814708 1
 
0.1%
0.01677261 1
 
0.1%
0.04929355 1
 
0.1%
0.3505189 1
 
0.1%
0.1223747 1
 
0.1%
0.6439174 1
 
0.1%
Other values (40) 40
 
2.4%
2023-12-09T20:35:44.078056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1326
14.2%
l 1326
14.2%
N 663
7.1%
o 663
7.1%
t 663
7.1%
663
7.1%
A 663
7.1%
v 663
7.1%
i 663
7.1%
b 663
7.1%
Other values (12) 1380
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6630
71.0%
Uppercase Letter 1326
 
14.2%
Decimal Number 670
 
7.2%
Space Separator 663
 
7.1%
Other Punctuation 47
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 364
54.3%
1 48
 
7.2%
2 43
 
6.4%
3 38
 
5.7%
4 35
 
5.2%
8 31
 
4.6%
7 31
 
4.6%
9 28
 
4.2%
5 27
 
4.0%
6 25
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1326
20.0%
l 1326
20.0%
o 663
10.0%
t 663
10.0%
v 663
10.0%
i 663
10.0%
b 663
10.0%
e 663
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 663
50.0%
A 663
50.0%
Space Separator
ValueCountFrequency (%)
663
100.0%
Other Punctuation
ValueCountFrequency (%)
. 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7956
85.2%
Common 1380
 
14.8%

Most frequent character per script

Common
ValueCountFrequency (%)
663
48.0%
0 364
26.4%
1 48
 
3.5%
. 47
 
3.4%
2 43
 
3.1%
3 38
 
2.8%
4 35
 
2.5%
8 31
 
2.2%
7 31
 
2.2%
9 28
 
2.0%
Other values (2) 52
 
3.8%
Latin
ValueCountFrequency (%)
a 1326
16.7%
l 1326
16.7%
N 663
8.3%
o 663
8.3%
t 663
8.3%
A 663
8.3%
v 663
8.3%
i 663
8.3%
b 663
8.3%
e 663
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1326
14.2%
l 1326
14.2%
N 663
7.1%
o 663
7.1%
t 663
7.1%
663
7.1%
A 663
7.1%
v 663
7.1%
i 663
7.1%
b 663
7.1%
Other values (12) 1380
14.8%
Distinct330
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:35:44.537670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.607
Min length1

Characters and Unicode

Total characters10607
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)32.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 662
39.8%
available 662
39.8%
0 4
 
0.2%
1342 2
 
0.1%
1641.2 2
 
0.1%
4176.1 2
 
0.1%
21451.9 2
 
0.1%
8010.5 2
 
0.1%
2954.2 2
 
0.1%
3455.4 1
 
0.1%
Other values (321) 321
19.3%
2023-12-09T20:35:45.124826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1324
12.5%
l 1324
12.5%
N 662
 
6.2%
o 662
 
6.2%
b 662
 
6.2%
i 662
 
6.2%
e 662
 
6.2%
v 662
 
6.2%
A 662
 
6.2%
662
 
6.2%
Other values (12) 2663
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6620
62.4%
Decimal Number 1703
 
16.1%
Uppercase Letter 1324
 
12.5%
Space Separator 662
 
6.2%
Other Punctuation 298
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 225
13.2%
2 218
12.8%
3 193
11.3%
4 183
10.7%
6 162
9.5%
5 158
9.3%
7 152
8.9%
9 148
8.7%
8 137
8.0%
0 127
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1324
20.0%
l 1324
20.0%
o 662
10.0%
b 662
10.0%
i 662
10.0%
e 662
10.0%
v 662
10.0%
t 662
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 662
50.0%
A 662
50.0%
Space Separator
ValueCountFrequency (%)
662
100.0%
Other Punctuation
ValueCountFrequency (%)
. 298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7944
74.9%
Common 2663
 
25.1%

Most frequent character per script

Common
ValueCountFrequency (%)
662
24.9%
. 298
11.2%
1 225
 
8.4%
2 218
 
8.2%
3 193
 
7.2%
4 183
 
6.9%
6 162
 
6.1%
5 158
 
5.9%
7 152
 
5.7%
9 148
 
5.6%
Other values (2) 264
 
9.9%
Latin
ValueCountFrequency (%)
a 1324
16.7%
l 1324
16.7%
N 662
8.3%
o 662
8.3%
b 662
8.3%
i 662
8.3%
e 662
8.3%
v 662
8.3%
A 662
8.3%
t 662
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1324
12.5%
l 1324
12.5%
N 662
 
6.2%
o 662
 
6.2%
b 662
 
6.2%
i 662
 
6.2%
e 662
 
6.2%
v 662
 
6.2%
A 662
 
6.2%
662
 
6.2%
Other values (12) 2663
25.1%
Distinct398
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T20:35:45.603191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.139
Min length1

Characters and Unicode

Total characters10139
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)39.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 596
37.3%
available 596
37.3%
1641.2 2
 
0.1%
0 2
 
0.1%
21451.9 2
 
0.1%
1342 2
 
0.1%
2954.2 2
 
0.1%
8010.5 2
 
0.1%
5994 2
 
0.1%
2657.1 1
 
0.1%
Other values (389) 389
24.4%
2023-12-09T20:35:46.218493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1192
 
11.8%
l 1192
 
11.8%
N 596
 
5.9%
t 596
 
5.9%
596
 
5.9%
A 596
 
5.9%
v 596
 
5.9%
i 596
 
5.9%
b 596
 
5.9%
e 596
 
5.9%
Other values (12) 2987
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5960
58.8%
Decimal Number 2035
 
20.1%
Uppercase Letter 1192
 
11.8%
Space Separator 596
 
5.9%
Other Punctuation 356
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 271
13.3%
2 255
12.5%
3 235
11.5%
4 226
11.1%
5 190
9.3%
6 188
9.2%
9 180
8.8%
7 177
8.7%
8 164
8.1%
0 149
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1192
20.0%
l 1192
20.0%
t 596
10.0%
v 596
10.0%
i 596
10.0%
b 596
10.0%
e 596
10.0%
o 596
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 596
50.0%
A 596
50.0%
Space Separator
ValueCountFrequency (%)
596
100.0%
Other Punctuation
ValueCountFrequency (%)
. 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7152
70.5%
Common 2987
29.5%

Most frequent character per script

Common
ValueCountFrequency (%)
596
20.0%
. 356
11.9%
1 271
9.1%
2 255
8.5%
3 235
 
7.9%
4 226
 
7.6%
5 190
 
6.4%
6 188
 
6.3%
9 180
 
6.0%
7 177
 
5.9%
Other values (2) 313
10.5%
Latin
ValueCountFrequency (%)
a 1192
16.7%
l 1192
16.7%
N 596
8.3%
t 596
8.3%
A 596
8.3%
v 596
8.3%
i 596
8.3%
b 596
8.3%
e 596
8.3%
o 596
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1192
 
11.8%
l 1192
 
11.8%
N 596
 
5.9%
t 596
 
5.9%
596
 
5.9%
A 596
 
5.9%
v 596
 
5.9%
i 596
 
5.9%
b 596
 
5.9%
e 596
 
5.9%
Other values (12) 2987
29.5%
Distinct330
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:35:46.681901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.607
Min length1

Characters and Unicode

Total characters10607
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)32.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 662
39.8%
available 662
39.8%
0 4
 
0.2%
1342 2
 
0.1%
1641.2 2
 
0.1%
4176.1 2
 
0.1%
21451.9 2
 
0.1%
8010.5 2
 
0.1%
2954.2 2
 
0.1%
3455.4 1
 
0.1%
Other values (321) 321
19.3%
2023-12-09T20:35:47.265918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1324
12.5%
l 1324
12.5%
N 662
 
6.2%
o 662
 
6.2%
b 662
 
6.2%
i 662
 
6.2%
e 662
 
6.2%
v 662
 
6.2%
A 662
 
6.2%
662
 
6.2%
Other values (12) 2663
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6620
62.4%
Decimal Number 1703
 
16.1%
Uppercase Letter 1324
 
12.5%
Space Separator 662
 
6.2%
Other Punctuation 298
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 225
13.2%
2 218
12.8%
3 193
11.3%
4 183
10.7%
6 162
9.5%
5 158
9.3%
7 152
8.9%
9 148
8.7%
8 137
8.0%
0 127
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1324
20.0%
l 1324
20.0%
o 662
10.0%
b 662
10.0%
i 662
10.0%
e 662
10.0%
v 662
10.0%
t 662
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 662
50.0%
A 662
50.0%
Space Separator
ValueCountFrequency (%)
662
100.0%
Other Punctuation
ValueCountFrequency (%)
. 298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7944
74.9%
Common 2663
 
25.1%

Most frequent character per script

Common
ValueCountFrequency (%)
662
24.9%
. 298
11.2%
1 225
 
8.4%
2 218
 
8.2%
3 193
 
7.2%
4 183
 
6.9%
6 162
 
6.1%
5 158
 
5.9%
7 152
 
5.7%
9 148
 
5.6%
Other values (2) 264
 
9.9%
Latin
ValueCountFrequency (%)
a 1324
16.7%
l 1324
16.7%
N 662
8.3%
o 662
8.3%
b 662
8.3%
i 662
8.3%
e 662
8.3%
v 662
8.3%
A 662
8.3%
t 662
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1324
12.5%
l 1324
12.5%
N 662
 
6.2%
o 662
 
6.2%
b 662
 
6.2%
i 662
 
6.2%
e 662
 
6.2%
v 662
 
6.2%
A 662
 
6.2%
662
 
6.2%
Other values (12) 2663
25.1%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:47.448812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:47.720373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

leed_us_project_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:35:47.890775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:35:48.180015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct410
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:35:48.462830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique384 ?
Unique (%)38.4%

Sample

1st row09/15/2013 04:28 PM EDT
2nd row09/15/2013 04:28 PM EDT
3rd row09/15/2013 04:28 PM EDT
4th row09/15/2013 04:28 PM EDT
5th row09/15/2013 04:28 PM EDT
ValueCountFrequency (%)
edt 828
20.7%
pm 610
15.2%
09/15/2013 469
11.7%
am 390
9.8%
04:30 298
 
7.4%
est 172
 
4.3%
04:29 160
 
4.0%
02/06/2014 94
 
2.4%
06:31 58
 
1.5%
04/29/2014 55
 
1.4%
Other values (395) 866
21.6%
2023-12-09T20:35:48.857281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3516
15.3%
3000
13.0%
1 2106
9.2%
/ 2000
 
8.7%
2 1750
 
7.6%
4 1384
 
6.0%
3 1202
 
5.2%
T 1000
 
4.3%
: 1000
 
4.3%
M 1000
 
4.3%
Other values (10) 5042
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3516
29.3%
1 2106
17.5%
2 1750
14.6%
4 1384
 
11.5%
3 1202
 
10.0%
9 821
 
6.8%
5 657
 
5.5%
6 284
 
2.4%
8 154
 
1.3%
7 126
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
T 1000
20.0%
M 1000
20.0%
E 1000
20.0%
D 828
16.6%
P 610
12.2%
A 390
 
7.8%
S 172
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3516
19.5%
3000
16.7%
1 2106
11.7%
/ 2000
11.1%
2 1750
9.7%
4 1384
 
7.7%
3 1202
 
6.7%
: 1000
 
5.6%
9 821
 
4.6%
5 657
 
3.6%
Other values (3) 564
 
3.1%
Latin
ValueCountFrequency (%)
T 1000
20.0%
M 1000
20.0%
E 1000
20.0%
D 828
16.6%
P 610
12.2%
A 390
 
7.8%
S 172
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3516
15.3%
3000
13.0%
1 2106
9.2%
/ 2000
 
8.7%
2 1750
 
7.6%
4 1384
 
6.0%
3 1202
 
5.2%
T 1000
 
4.3%
: 1000
 
4.3%
M 1000
 
4.3%
Other values (10) 5042
21.9%
Distinct201
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:35:49.309848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.277
Min length1

Characters and Unicode

Total characters11277
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)19.4%

Sample

1st row10077
2nd row19753
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 792
44.2%
available 792
44.2%
5000 4
 
0.2%
12400 2
 
0.1%
1500 2
 
0.1%
4600 2
 
0.1%
9000 2
 
0.1%
7000 2
 
0.1%
46752 1
 
0.1%
18000 1
 
0.1%
Other values (192) 192
 
10.7%
2023-12-09T20:35:49.897215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1584
14.0%
l 1584
14.0%
N 792
7.0%
o 792
7.0%
b 792
7.0%
i 792
7.0%
e 792
7.0%
v 792
7.0%
A 792
7.0%
792
7.0%
Other values (11) 1773
15.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7920
70.2%
Uppercase Letter 1584
 
14.0%
Decimal Number 981
 
8.7%
Space Separator 792
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 164
16.7%
1 147
15.0%
3 91
9.3%
5 90
9.2%
4 88
9.0%
2 87
8.9%
6 85
8.7%
9 81
8.3%
8 77
7.8%
7 71
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1584
20.0%
l 1584
20.0%
o 792
10.0%
b 792
10.0%
i 792
10.0%
e 792
10.0%
v 792
10.0%
t 792
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 792
50.0%
A 792
50.0%
Space Separator
ValueCountFrequency (%)
792
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9504
84.3%
Common 1773
 
15.7%

Most frequent character per script

Common
ValueCountFrequency (%)
792
44.7%
0 164
 
9.2%
1 147
 
8.3%
3 91
 
5.1%
5 90
 
5.1%
4 88
 
5.0%
2 87
 
4.9%
6 85
 
4.8%
9 81
 
4.6%
8 77
 
4.3%
Latin
ValueCountFrequency (%)
a 1584
16.7%
l 1584
16.7%
N 792
8.3%
o 792
8.3%
b 792
8.3%
i 792
8.3%
e 792
8.3%
v 792
8.3%
A 792
8.3%
t 792
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1584
14.0%
l 1584
14.0%
N 792
7.0%
o 792
7.0%
b 792
7.0%
i 792
7.0%
e 792
7.0%
v 792
7.0%
A 792
7.0%
792
7.0%
Other values (11) 1773
15.7%
Distinct174
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:35:50.388173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.578
Min length1

Characters and Unicode

Total characters11578
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)16.9%

Sample

1st row0.49618
2nd row0.75938
3rd rowNot Available
4th rowNot Available
5th row0.23861
ValueCountFrequency (%)
not 794
44.3%
available 794
44.3%
0.3 22
 
1.2%
0 9
 
0.5%
0.4 4
 
0.2%
0.11111 2
 
0.1%
0.29348 1
 
0.1%
0.42974 1
 
0.1%
0.09997 1
 
0.1%
0.32881 1
 
0.1%
Other values (165) 165
 
9.2%
2023-12-09T20:35:51.001311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1588
13.7%
l 1588
13.7%
N 794
 
6.9%
o 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
Other values (12) 2050
17.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7940
68.6%
Uppercase Letter 1588
 
13.7%
Decimal Number 1059
 
9.1%
Space Separator 794
 
6.9%
Other Punctuation 197
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 254
24.0%
1 135
12.7%
3 120
11.3%
2 93
 
8.8%
5 82
 
7.7%
8 79
 
7.5%
7 78
 
7.4%
6 75
 
7.1%
4 73
 
6.9%
9 70
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1588
20.0%
l 1588
20.0%
o 794
10.0%
t 794
10.0%
v 794
10.0%
i 794
10.0%
b 794
10.0%
e 794
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 794
50.0%
A 794
50.0%
Space Separator
ValueCountFrequency (%)
794
100.0%
Other Punctuation
ValueCountFrequency (%)
. 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9528
82.3%
Common 2050
 
17.7%

Most frequent character per script

Common
ValueCountFrequency (%)
794
38.7%
0 254
 
12.4%
. 197
 
9.6%
1 135
 
6.6%
3 120
 
5.9%
2 93
 
4.5%
5 82
 
4.0%
8 79
 
3.9%
7 78
 
3.8%
6 75
 
3.7%
Other values (2) 143
 
7.0%
Latin
ValueCountFrequency (%)
a 1588
16.7%
l 1588
16.7%
N 794
8.3%
o 794
8.3%
t 794
8.3%
A 794
8.3%
v 794
8.3%
i 794
8.3%
b 794
8.3%
e 794
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1588
13.7%
l 1588
13.7%
N 794
 
6.9%
o 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
Other values (12) 2050
17.7%
Distinct175
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:35:51.511651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.542
Min length1

Characters and Unicode

Total characters11542
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)16.9%

Sample

1st row2.4809
2nd row2.02501
3rd rowNot Available
4th rowNot Available
5th row1.59074
ValueCountFrequency (%)
not 794
44.3%
available 794
44.3%
1 27
 
1.5%
0 4
 
0.2%
0.83333 2
 
0.1%
2.70563 2
 
0.1%
1.33333 2
 
0.1%
1.04655 1
 
0.1%
1.40938 1
 
0.1%
1.10811 1
 
0.1%
Other values (166) 166
 
9.3%
2023-12-09T20:35:52.148412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1588
13.8%
l 1588
13.8%
N 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
e 794
 
6.9%
Other values (12) 2014
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7940
68.8%
Uppercase Letter 1588
 
13.8%
Decimal Number 1046
 
9.1%
Space Separator 794
 
6.9%
Other Punctuation 174
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 171
16.3%
0 139
13.3%
3 118
11.3%
2 106
10.1%
6 93
8.9%
7 92
8.8%
8 90
8.6%
5 83
7.9%
4 82
7.8%
9 72
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1588
20.0%
l 1588
20.0%
t 794
10.0%
v 794
10.0%
i 794
10.0%
b 794
10.0%
e 794
10.0%
o 794
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 794
50.0%
A 794
50.0%
Space Separator
ValueCountFrequency (%)
794
100.0%
Other Punctuation
ValueCountFrequency (%)
. 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9528
82.6%
Common 2014
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
794
39.4%
. 174
 
8.6%
1 171
 
8.5%
0 139
 
6.9%
3 118
 
5.9%
2 106
 
5.3%
6 93
 
4.6%
7 92
 
4.6%
8 90
 
4.5%
5 83
 
4.1%
Other values (2) 154
 
7.6%
Latin
ValueCountFrequency (%)
a 1588
16.7%
l 1588
16.7%
N 794
8.3%
t 794
8.3%
A 794
8.3%
v 794
8.3%
i 794
8.3%
b 794
8.3%
e 794
8.3%
o 794
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1588
13.8%
l 1588
13.8%
N 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
e 794
 
6.9%
Other values (12) 2014
17.4%
Distinct74
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:35:52.453191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.82
Min length1

Characters and Unicode

Total characters10820
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st row90
2nd row98
3rd rowNot Available
4th rowNot Available
5th row120
ValueCountFrequency (%)
not 793
44.2%
available 793
44.2%
65 42
 
2.3%
70 15
 
0.8%
60 14
 
0.8%
84 9
 
0.5%
80 9
 
0.5%
168 8
 
0.4%
55 7
 
0.4%
40 7
 
0.4%
Other values (65) 96
 
5.4%
2023-12-09T20:35:52.870972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1586
14.7%
l 1586
14.7%
N 793
7.3%
t 793
7.3%
793
7.3%
A 793
7.3%
v 793
7.3%
i 793
7.3%
b 793
7.3%
e 793
7.3%
Other values (12) 1304
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7930
73.3%
Uppercase Letter 1586
 
14.7%
Space Separator 793
 
7.3%
Decimal Number 486
 
4.5%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 84
17.3%
6 84
17.3%
0 80
16.5%
8 51
10.5%
7 49
10.1%
1 48
9.9%
4 38
7.8%
2 20
 
4.1%
9 16
 
3.3%
3 16
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1586
20.0%
l 1586
20.0%
t 793
10.0%
v 793
10.0%
i 793
10.0%
b 793
10.0%
e 793
10.0%
o 793
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 793
50.0%
A 793
50.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9516
87.9%
Common 1304
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
793
60.8%
5 84
 
6.4%
6 84
 
6.4%
0 80
 
6.1%
8 51
 
3.9%
7 49
 
3.8%
1 48
 
3.7%
4 38
 
2.9%
. 25
 
1.9%
2 20
 
1.5%
Other values (2) 32
 
2.5%
Latin
ValueCountFrequency (%)
a 1586
16.7%
l 1586
16.7%
N 793
8.3%
t 793
8.3%
A 793
8.3%
v 793
8.3%
i 793
8.3%
b 793
8.3%
e 793
8.3%
o 793
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1586
14.7%
l 1586
14.7%
N 793
7.3%
t 793
7.3%
793
7.3%
A 793
7.3%
v 793
7.3%
i 793
7.3%
b 793
7.3%
e 793
7.3%
Other values (12) 1304
12.1%
Distinct51
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:35:53.149456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.811
Min length1

Characters and Unicode

Total characters10811
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row0.03181
ValueCountFrequency (%)
not 794
44.3%
available 794
44.3%
0 157
 
8.8%
0.32206 1
 
0.1%
0.47966 1
 
0.1%
0.16667 1
 
0.1%
0.44444 1
 
0.1%
0.00899 1
 
0.1%
0.03893 1
 
0.1%
0.23579 1
 
0.1%
Other values (42) 42
 
2.3%
2023-12-09T20:35:53.554648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1588
14.7%
l 1588
14.7%
N 794
7.3%
o 794
7.3%
t 794
7.3%
794
7.3%
A 794
7.3%
v 794
7.3%
i 794
7.3%
b 794
7.3%
Other values (12) 1283
11.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7940
73.4%
Uppercase Letter 1588
 
14.7%
Space Separator 794
 
7.3%
Decimal Number 440
 
4.1%
Other Punctuation 49
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 235
53.4%
5 29
 
6.6%
4 28
 
6.4%
6 27
 
6.1%
3 26
 
5.9%
1 22
 
5.0%
8 22
 
5.0%
7 20
 
4.5%
2 16
 
3.6%
9 15
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1588
20.0%
l 1588
20.0%
o 794
10.0%
t 794
10.0%
v 794
10.0%
i 794
10.0%
b 794
10.0%
e 794
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 794
50.0%
A 794
50.0%
Space Separator
ValueCountFrequency (%)
794
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9528
88.1%
Common 1283
 
11.9%

Most frequent character per script

Common
ValueCountFrequency (%)
794
61.9%
0 235
 
18.3%
. 49
 
3.8%
5 29
 
2.3%
4 28
 
2.2%
6 27
 
2.1%
3 26
 
2.0%
1 22
 
1.7%
8 22
 
1.7%
7 20
 
1.6%
Other values (2) 31
 
2.4%
Latin
ValueCountFrequency (%)
a 1588
16.7%
l 1588
16.7%
N 794
8.3%
o 794
8.3%
t 794
8.3%
A 794
8.3%
v 794
8.3%
i 794
8.3%
b 794
8.3%
e 794
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1588
14.7%
l 1588
14.7%
N 794
7.3%
o 794
7.3%
t 794
7.3%
794
7.3%
A 794
7.3%
v 794
7.3%
i 794
7.3%
b 794
7.3%
Other values (12) 1283
11.9%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2023-12-09T20:35:53.756566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.927
Min length1

Characters and Unicode

Total characters10927
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row100
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 793
44.2%
available 793
44.2%
100 182
 
10.2%
80 7
 
0.4%
70 4
 
0.2%
90 3
 
0.2%
40 2
 
0.1%
57.88 1
 
0.1%
0 1
 
0.1%
31.27 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:35:54.060702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1586
14.5%
l 1586
14.5%
N 793
7.3%
t 793
7.3%
793
7.3%
A 793
7.3%
v 793
7.3%
i 793
7.3%
b 793
7.3%
e 793
7.3%
Other values (12) 1411
12.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7930
72.6%
Uppercase Letter 1586
 
14.5%
Space Separator 793
 
7.3%
Decimal Number 610
 
5.6%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
62.5%
1 186
30.5%
8 11
 
1.8%
7 9
 
1.5%
4 6
 
1.0%
9 5
 
0.8%
2 5
 
0.8%
5 4
 
0.7%
3 2
 
0.3%
6 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 1586
20.0%
l 1586
20.0%
t 793
10.0%
v 793
10.0%
i 793
10.0%
b 793
10.0%
e 793
10.0%
o 793
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 793
50.0%
A 793
50.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9516
87.1%
Common 1411
 
12.9%

Most frequent character per script

Common
ValueCountFrequency (%)
793
56.2%
0 381
27.0%
1 186
 
13.2%
8 11
 
0.8%
7 9
 
0.6%
. 8
 
0.6%
4 6
 
0.4%
9 5
 
0.4%
2 5
 
0.4%
5 4
 
0.3%
Other values (2) 3
 
0.2%
Latin
ValueCountFrequency (%)
a 1586
16.7%
l 1586
16.7%
N 793
8.3%
t 793
8.3%
A 793
8.3%
v 793
8.3%
i 793
8.3%
b 793
8.3%
e 793
8.3%
o 793
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1586
14.5%
l 1586
14.5%
N 793
7.3%
t 793
7.3%
793
7.3%
A 793
7.3%
v 793
7.3%
i 793
7.3%
b 793
7.3%
e 793
7.3%
Other values (12) 1411
12.9%
Distinct168
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:35:54.528146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.548
Min length1

Characters and Unicode

Total characters11548
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)16.4%

Sample

1st row1.48854
2nd row1.0125
3rd rowNot Available
4th rowNot Available
5th row0.39768
ValueCountFrequency (%)
not 794
44.3%
available 794
44.3%
0.2 25
 
1.4%
0 15
 
0.8%
0.89286 2
 
0.1%
0.51791 1
 
0.1%
0.59318 1
 
0.1%
1.10811 1
 
0.1%
0.21361 1
 
0.1%
0.32 1
 
0.1%
Other values (159) 159
 
8.9%
2023-12-09T20:35:55.168984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1588
13.8%
l 1588
13.8%
N 794
 
6.9%
o 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
Other values (12) 2020
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7940
68.8%
Uppercase Letter 1588
 
13.8%
Decimal Number 1035
 
9.0%
Space Separator 794
 
6.9%
Other Punctuation 191
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 231
22.3%
1 126
12.2%
2 117
11.3%
5 95
9.2%
3 93
9.0%
6 83
 
8.0%
8 82
 
7.9%
4 74
 
7.1%
7 68
 
6.6%
9 66
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1588
20.0%
l 1588
20.0%
o 794
10.0%
t 794
10.0%
v 794
10.0%
i 794
10.0%
b 794
10.0%
e 794
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 794
50.0%
A 794
50.0%
Space Separator
ValueCountFrequency (%)
794
100.0%
Other Punctuation
ValueCountFrequency (%)
. 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9528
82.5%
Common 2020
 
17.5%

Most frequent character per script

Common
ValueCountFrequency (%)
794
39.3%
0 231
 
11.4%
. 191
 
9.5%
1 126
 
6.2%
2 117
 
5.8%
5 95
 
4.7%
3 93
 
4.6%
6 83
 
4.1%
8 82
 
4.1%
4 74
 
3.7%
Other values (2) 134
 
6.6%
Latin
ValueCountFrequency (%)
a 1588
16.7%
l 1588
16.7%
N 794
8.3%
o 794
8.3%
t 794
8.3%
A 794
8.3%
v 794
8.3%
i 794
8.3%
b 794
8.3%
e 794
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1588
13.8%
l 1588
13.8%
N 794
 
6.9%
o 794
 
6.9%
t 794
 
6.9%
794
 
6.9%
A 794
 
6.9%
v 794
 
6.9%
i 794
 
6.9%
b 794
 
6.9%
Other values (12) 2020
17.5%
Distinct95
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size66.6 KiB
2023-12-09T20:35:55.557737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.075
Min length1

Characters and Unicode

Total characters11075
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)9.3%

Sample

1st row0.29771
2nd row0.10125
3rd rowNot Available
4th rowNot Available
5th row0.07954
ValueCountFrequency (%)
not 794
44.3%
available 794
44.3%
0 113
 
6.3%
0.66823 1
 
0.1%
0.09019 1
 
0.1%
0.32 1
 
0.1%
0.18342 1
 
0.1%
0.11487 1
 
0.1%
0.97588 1
 
0.1%
0.68729 1
 
0.1%
Other values (86) 86
 
4.8%
2023-12-09T20:35:56.067981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1588
14.3%
l 1588
14.3%
N 794
7.2%
o 794
7.2%
t 794
7.2%
794
7.2%
A 794
7.2%
v 794
7.2%
i 794
7.2%
b 794
7.2%
Other values (12) 1547
14.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7940
71.7%
Uppercase Letter 1588
 
14.3%
Space Separator 794
 
7.2%
Decimal Number 660
 
6.0%
Other Punctuation 93
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 229
34.7%
1 80
 
12.1%
2 54
 
8.2%
4 50
 
7.6%
7 49
 
7.4%
3 46
 
7.0%
8 42
 
6.4%
5 41
 
6.2%
9 38
 
5.8%
6 31
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1588
20.0%
l 1588
20.0%
o 794
10.0%
t 794
10.0%
v 794
10.0%
i 794
10.0%
b 794
10.0%
e 794
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 794
50.0%
A 794
50.0%
Space Separator
ValueCountFrequency (%)
794
100.0%
Other Punctuation
ValueCountFrequency (%)
. 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9528
86.0%
Common 1547
 
14.0%

Most frequent character per script

Common
ValueCountFrequency (%)
794
51.3%
0 229
 
14.8%
. 93
 
6.0%
1 80
 
5.2%
2 54
 
3.5%
4 50
 
3.2%
7 49
 
3.2%
3 46
 
3.0%
8 42
 
2.7%
5 41
 
2.7%
Other values (2) 69
 
4.5%
Latin
ValueCountFrequency (%)
a 1588
16.7%
l 1588
16.7%
N 794
8.3%
o 794
8.3%
t 794
8.3%
A 794
8.3%
v 794
8.3%
i 794
8.3%
b 794
8.3%
e 794
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1588
14.3%
l 1588
14.3%
N 794
7.2%
o 794
7.2%
t 794
7.2%
794
7.2%
A 794
7.2%
v 794
7.2%
i 794
7.2%
b 794
7.2%
Other values (12) 1547
14.0%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:35:56.274302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.517
Min length1

Characters and Unicode

Total characters10517
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 793
44.2%
available 793
44.2%
0 158
 
8.8%
2 17
 
0.9%
1 13
 
0.7%
4 5
 
0.3%
7 4
 
0.2%
5 3
 
0.2%
6 2
 
0.1%
3 2
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:35:56.585140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1586
15.1%
l 1586
15.1%
N 793
7.5%
o 793
7.5%
b 793
7.5%
i 793
7.5%
e 793
7.5%
v 793
7.5%
A 793
7.5%
793
7.5%
Other values (11) 1001
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7930
75.4%
Uppercase Letter 1586
 
15.1%
Space Separator 793
 
7.5%
Decimal Number 208
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 158
76.0%
2 18
 
8.7%
1 13
 
6.2%
4 5
 
2.4%
7 4
 
1.9%
5 4
 
1.9%
6 2
 
1.0%
3 2
 
1.0%
9 1
 
0.5%
8 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 1586
20.0%
l 1586
20.0%
o 793
10.0%
b 793
10.0%
i 793
10.0%
e 793
10.0%
v 793
10.0%
t 793
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 793
50.0%
A 793
50.0%
Space Separator
ValueCountFrequency (%)
793
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9516
90.5%
Common 1001
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
793
79.2%
0 158
 
15.8%
2 18
 
1.8%
1 13
 
1.3%
4 5
 
0.5%
7 4
 
0.4%
5 4
 
0.4%
6 2
 
0.2%
3 2
 
0.2%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1586
16.7%
l 1586
16.7%
N 793
8.3%
o 793
8.3%
b 793
8.3%
i 793
8.3%
e 793
8.3%
v 793
8.3%
A 793
8.3%
t 793
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1586
15.1%
l 1586
15.1%
N 793
7.5%
o 793
7.5%
b 793
7.5%
i 793
7.5%
e 793
7.5%
v 793
7.5%
A 793
7.5%
793
7.5%
Other values (11) 1001
9.5%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:35:56.801356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.549
Min length1

Characters and Unicode

Total characters10549
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row3
2nd row2
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 793
44.2%
available 793
44.2%
0 114
 
6.4%
2 16
 
0.9%
1 15
 
0.8%
3 9
 
0.5%
5 8
 
0.4%
4 5
 
0.3%
6 5
 
0.3%
15 4
 
0.2%
Other values (20) 31
 
1.7%
2023-12-09T20:35:57.139985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1586
15.0%
l 1586
15.0%
N 793
7.5%
o 793
7.5%
t 793
7.5%
793
7.5%
A 793
7.5%
v 793
7.5%
i 793
7.5%
b 793
7.5%
Other values (12) 1033
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7930
75.2%
Uppercase Letter 1586
 
15.0%
Space Separator 793
 
7.5%
Decimal Number 239
 
2.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 117
49.0%
1 38
 
15.9%
2 22
 
9.2%
5 16
 
6.7%
3 14
 
5.9%
4 13
 
5.4%
6 8
 
3.3%
8 5
 
2.1%
7 3
 
1.3%
9 3
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1586
20.0%
l 1586
20.0%
o 793
10.0%
t 793
10.0%
v 793
10.0%
i 793
10.0%
b 793
10.0%
e 793
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 793
50.0%
A 793
50.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9516
90.2%
Common 1033
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
793
76.8%
0 117
 
11.3%
1 38
 
3.7%
2 22
 
2.1%
5 16
 
1.5%
3 14
 
1.4%
4 13
 
1.3%
6 8
 
0.8%
8 5
 
0.5%
7 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1586
16.7%
l 1586
16.7%
N 793
8.3%
o 793
8.3%
t 793
8.3%
A 793
8.3%
v 793
8.3%
i 793
8.3%
b 793
8.3%
e 793
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1586
15.0%
l 1586
15.0%
N 793
7.5%
o 793
7.5%
t 793
7.5%
793
7.5%
A 793
7.5%
v 793
7.5%
i 793
7.5%
b 793
7.5%
Other values (12) 1033
9.8%
Distinct106
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:35:57.508417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.022
Min length1

Characters and Unicode

Total characters12022
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 883
46.9%
available 883
46.9%
0 8
 
0.4%
2000 3
 
0.2%
60000 2
 
0.1%
12000 2
 
0.1%
50000 2
 
0.1%
36204 1
 
0.1%
10200 1
 
0.1%
32000 1
 
0.1%
Other values (97) 97
 
5.2%
2023-12-09T20:35:58.028706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1766
14.7%
l 1766
14.7%
N 883
7.3%
o 883
7.3%
b 883
7.3%
i 883
7.3%
e 883
7.3%
v 883
7.3%
A 883
7.3%
883
7.3%
Other values (11) 1426
11.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8830
73.4%
Uppercase Letter 1766
 
14.7%
Space Separator 883
 
7.3%
Decimal Number 543
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
30.4%
1 61
 
11.2%
2 55
 
10.1%
8 48
 
8.8%
3 41
 
7.6%
6 39
 
7.2%
7 39
 
7.2%
4 39
 
7.2%
5 31
 
5.7%
9 25
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 1766
20.0%
l 1766
20.0%
o 883
10.0%
b 883
10.0%
i 883
10.0%
e 883
10.0%
v 883
10.0%
t 883
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 883
50.0%
A 883
50.0%
Space Separator
ValueCountFrequency (%)
883
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10596
88.1%
Common 1426
 
11.9%

Most frequent character per script

Common
ValueCountFrequency (%)
883
61.9%
0 165
 
11.6%
1 61
 
4.3%
2 55
 
3.9%
8 48
 
3.4%
3 41
 
2.9%
6 39
 
2.7%
7 39
 
2.7%
4 39
 
2.7%
5 31
 
2.2%
Latin
ValueCountFrequency (%)
a 1766
16.7%
l 1766
16.7%
N 883
8.3%
o 883
8.3%
b 883
8.3%
i 883
8.3%
e 883
8.3%
v 883
8.3%
A 883
8.3%
t 883
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1766
14.7%
l 1766
14.7%
N 883
7.3%
o 883
7.3%
b 883
7.3%
i 883
7.3%
e 883
7.3%
v 883
7.3%
A 883
7.3%
883
7.3%
Other values (11) 1426
11.9%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:35:58.251762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.648
Min length1

Characters and Unicode

Total characters11648
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 883
46.9%
available 883
46.9%
0 104
 
5.5%
36000 1
 
0.1%
6781 1
 
0.1%
16946 1
 
0.1%
24200 1
 
0.1%
100000 1
 
0.1%
9805 1
 
0.1%
49917 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:35:58.579258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1766
15.2%
l 1766
15.2%
N 883
7.6%
o 883
7.6%
b 883
7.6%
i 883
7.6%
e 883
7.6%
v 883
7.6%
A 883
7.6%
883
7.6%
Other values (11) 1052
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8830
75.8%
Uppercase Letter 1766
 
15.2%
Space Separator 883
 
7.6%
Decimal Number 169
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
72.8%
1 9
 
5.3%
8 6
 
3.6%
9 6
 
3.6%
6 5
 
3.0%
7 5
 
3.0%
2 5
 
3.0%
4 4
 
2.4%
5 4
 
2.4%
3 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1766
20.0%
l 1766
20.0%
o 883
10.0%
b 883
10.0%
i 883
10.0%
e 883
10.0%
v 883
10.0%
t 883
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 883
50.0%
A 883
50.0%
Space Separator
ValueCountFrequency (%)
883
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10596
91.0%
Common 1052
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
883
83.9%
0 123
 
11.7%
1 9
 
0.9%
8 6
 
0.6%
9 6
 
0.6%
6 5
 
0.5%
7 5
 
0.5%
2 5
 
0.5%
4 4
 
0.4%
5 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1766
16.7%
l 1766
16.7%
N 883
8.3%
o 883
8.3%
b 883
8.3%
i 883
8.3%
e 883
8.3%
v 883
8.3%
A 883
8.3%
t 883
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1766
15.2%
l 1766
15.2%
N 883
7.6%
o 883
7.6%
b 883
7.6%
i 883
7.6%
e 883
7.6%
v 883
7.6%
A 883
7.6%
883
7.6%
Other values (11) 1052
9.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:58.787892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length5

Characters and Unicode

Total characters12904
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
192000 1
 
0.1%
1042446 1
 
0.1%
186891 1
 
0.1%
574241 1
 
0.1%
742596 1
 
0.1%
200000 1
 
0.1%
320000 1
 
0.1%
149472 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:35:59.148493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
b 986
7.6%
i 986
7.6%
e 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (11) 1072
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 86
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
26.7%
2 12
14.0%
1 10
11.6%
4 9
 
10.5%
6 9
 
10.5%
9 8
 
9.3%
8 4
 
4.7%
5 4
 
4.7%
7 4
 
4.7%
3 3
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
b 986
10.0%
i 986
10.0%
e 986
10.0%
v 986
10.0%
t 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.7%
Common 1072
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
986
92.0%
0 23
 
2.1%
2 12
 
1.1%
1 10
 
0.9%
4 9
 
0.8%
6 9
 
0.8%
9 8
 
0.7%
8 4
 
0.4%
5 4
 
0.4%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
b 986
8.3%
i 986
8.3%
e 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
b 986
7.6%
i 986
7.6%
e 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (11) 1072
8.3%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:59.367205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.924
Min length1

Characters and Unicode

Total characters12924
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
2000 2
 
0.1%
625 1
 
0.1%
2200 1
 
0.1%
1951 1
 
0.1%
0 1
 
0.1%
5700 1
 
0.1%
1850 1
 
0.1%
2023-12-09T20:35:59.676453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.8%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 28
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 992
10.0%
o 992
10.0%
i 992
10.0%
b 992
10.0%
v 992
10.0%
t 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 12
42.9%
2 5
17.9%
5 4
 
14.3%
1 3
 
10.7%
6 1
 
3.6%
9 1
 
3.6%
7 1
 
3.6%
8 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
e 992
8.3%
o 992
8.3%
i 992
8.3%
b 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
97.3%
0 12
 
1.2%
2 5
 
0.5%
5 4
 
0.4%
1 3
 
0.3%
6 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1020
7.9%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:35:59.887898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length4

Characters and Unicode

Total characters12910
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0.81771 1
 
0.1%
1.43 1
 
0.1%
0.98042 1
 
0.1%
1.43171 1
 
0.1%
1.10312 1
 
0.1%
0.88312 1
 
0.1%
0.77624 1
 
0.1%
1.20606 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:36:00.239691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1078
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 78
 
0.6%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
24.4%
2 10
12.8%
0 10
12.8%
8 10
12.8%
7 7
 
9.0%
4 7
 
9.0%
3 6
 
7.7%
5 4
 
5.1%
6 3
 
3.8%
9 2
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.6%
Common 1078
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
986
91.5%
1 19
 
1.8%
. 14
 
1.3%
2 10
 
0.9%
0 10
 
0.9%
8 10
 
0.9%
7 7
 
0.6%
4 7
 
0.6%
3 6
 
0.6%
5 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1078
8.4%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:36:00.444653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.906
Min length3

Characters and Unicode

Total characters12906
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0.32 2
 
0.1%
0.47132 1
 
0.1%
0.5 1
 
0.1%
0.42323 1
 
0.1%
0.17122 1
 
0.1%
0.71886 1
 
0.1%
0.31771 1
 
0.1%
0.23363 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:36:00.761969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1074
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 74
 
0.6%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
21.6%
3 14
18.9%
2 12
16.2%
1 10
13.5%
5 6
 
8.1%
7 5
 
6.8%
8 4
 
5.4%
6 4
 
5.4%
4 2
 
2.7%
9 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.7%
Common 1074
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
986
91.8%
0 16
 
1.5%
. 14
 
1.3%
3 14
 
1.3%
2 12
 
1.1%
1 10
 
0.9%
5 6
 
0.6%
7 5
 
0.5%
8 4
 
0.4%
6 4
 
0.4%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1074
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:36:00.942601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.858
Min length2

Characters and Unicode

Total characters12858
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
100 12
 
0.6%
90 1
 
0.1%
80 1
 
0.1%
2023-12-09T20:36:01.230353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (5) 1026
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.7%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 40
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Decimal Number
ValueCountFrequency (%)
0 26
65.0%
1 12
30.0%
9 1
 
2.5%
8 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.0%
Common 1026
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
Common
ValueCountFrequency (%)
986
96.1%
0 26
 
2.5%
1 12
 
1.2%
9 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (5) 1026
8.0%
Distinct520
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:36:01.538085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)30.9%

Sample

1st row2014-04-30T11:03:32.000
2nd row2014-04-30T11:03:32.000
3rd row2014-04-30T11:03:33.000
4th row2014-04-30T11:03:33.000
5th row2014-04-30T11:03:33.000
ValueCountFrequency (%)
2014-04-22t15:42:39.000 14
 
1.4%
2014-04-07t08:49:58.000 8
 
0.8%
2014-05-01t11:03:39.000 8
 
0.8%
2014-05-01t11:03:42.000 8
 
0.8%
2014-04-24t14:53:49.000 8
 
0.8%
2014-04-24t14:53:48.000 7
 
0.7%
2014-05-01t11:03:40.000 7
 
0.7%
2014-04-21t12:50:55.000 7
 
0.7%
2014-05-01t13:16:35.000 7
 
0.7%
2014-05-01t16:19:04.000 7
 
0.7%
Other values (510) 919
91.9%
2023-12-09T20:36:01.983714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6408
27.9%
1 2827
12.3%
4 2448
 
10.6%
2 2073
 
9.0%
- 2000
 
8.7%
: 2000
 
8.7%
5 1041
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
3 955
 
4.2%
Other values (4) 1248
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6408
37.7%
1 2827
16.6%
4 2448
 
14.4%
2 2073
 
12.2%
5 1041
 
6.1%
3 955
 
5.6%
9 359
 
2.1%
6 355
 
2.1%
7 269
 
1.6%
8 265
 
1.6%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6408
29.1%
1 2827
12.8%
4 2448
 
11.1%
2 2073
 
9.4%
- 2000
 
9.1%
: 2000
 
9.1%
5 1041
 
4.7%
. 1000
 
4.5%
3 955
 
4.3%
9 359
 
1.6%
Other values (3) 889
 
4.0%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6408
27.9%
1 2827
12.3%
4 2448
 
10.6%
2 2073
 
9.0%
- 2000
 
8.7%
: 2000
 
8.7%
5 1041
 
4.5%
T 1000
 
4.3%
. 1000
 
4.3%
3 955
 
4.2%
Other values (4) 1248
 
5.4%
Distinct308
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:36:02.322789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)22.3%

Sample

1st row2014-04-30T11:07:15.000
2nd row2014-04-30T11:07:15.000
3rd row2014-04-30T11:07:15.000
4th row2014-04-30T11:07:15.000
5th row2014-04-30T11:07:15.000
ValueCountFrequency (%)
2014-05-01t23:17:57.000 107
 
10.7%
2014-04-30t13:51:25.000 66
 
6.6%
2014-05-01t11:04:49.000 53
 
5.3%
2014-04-30t15:49:02.000 34
 
3.4%
2014-04-30t10:01:39.000 23
 
2.3%
2014-04-29t15:07:42.000 21
 
2.1%
2014-04-25t11:32:31.000 16
 
1.6%
2014-04-22t15:44:41.000 16
 
1.6%
2014-05-01t11:55:29.000 16
 
1.6%
2014-04-30t16:50:23.000 14
 
1.4%
Other values (298) 634
63.4%
2023-12-09T20:36:02.773955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6195
26.9%
1 2962
12.9%
4 2311
 
10.0%
2 2062
 
9.0%
- 2000
 
8.7%
: 2000
 
8.7%
5 1176
 
5.1%
T 1000
 
4.3%
. 1000
 
4.3%
3 864
 
3.8%
Other values (4) 1430
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6195
36.4%
1 2962
17.4%
4 2311
 
13.6%
2 2062
 
12.1%
5 1176
 
6.9%
3 864
 
5.1%
7 495
 
2.9%
9 389
 
2.3%
8 288
 
1.7%
6 258
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6195
28.2%
1 2962
13.5%
4 2311
 
10.5%
2 2062
 
9.4%
- 2000
 
9.1%
: 2000
 
9.1%
5 1176
 
5.3%
. 1000
 
4.5%
3 864
 
3.9%
7 495
 
2.2%
Other values (3) 935
 
4.2%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6195
26.9%
1 2962
12.9%
4 2311
 
10.0%
2 2062
 
9.0%
- 2000
 
8.7%
: 2000
 
8.7%
5 1176
 
5.1%
T 1000
 
4.3%
. 1000
 
4.3%
3 864
 
3.8%
Other values (4) 1430
 
6.2%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing58
Missing (%)5.8%
Memory size62.0 KiB
2023-12-09T20:36:02.958404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.33014862
Min length5

Characters and Unicode

Total characters7847
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
manhattan 676
69.8%
brooklyn 87
 
9.0%
bronx 85
 
8.8%
queens 68
 
7.0%
staten 26
 
2.7%
is 26
 
2.7%
2023-12-09T20:36:03.259426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 2054
26.2%
N 1618
20.6%
T 1404
17.9%
M 676
 
8.6%
H 676
 
8.6%
O 259
 
3.3%
B 172
 
2.2%
R 172
 
2.2%
E 162
 
2.1%
S 120
 
1.5%
Other values (8) 534
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7821
99.7%
Space Separator 26
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2054
26.3%
N 1618
20.7%
T 1404
18.0%
M 676
 
8.6%
H 676
 
8.6%
O 259
 
3.3%
B 172
 
2.2%
R 172
 
2.2%
E 162
 
2.1%
S 120
 
1.5%
Other values (7) 508
 
6.5%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7821
99.7%
Common 26
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2054
26.3%
N 1618
20.7%
T 1404
18.0%
M 676
 
8.6%
H 676
 
8.6%
O 259
 
3.3%
B 172
 
2.2%
R 172
 
2.2%
E 162
 
2.1%
S 120
 
1.5%
Other values (7) 508
 
6.5%
Common
ValueCountFrequency (%)
26
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 2054
26.2%
N 1618
20.6%
T 1404
17.9%
M 676
 
8.6%
H 676
 
8.6%
O 259
 
3.3%
B 172
 
2.2%
R 172
 
2.2%
E 162
 
2.1%
S 120
 
1.5%
Other values (8) 534
 
6.8%

latitude
Text

MISSING 

Distinct907
Distinct (%)96.3%
Missing58
Missing (%)5.8%
Memory size62.5 KiB
2023-12-09T20:36:03.585995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.878980892
Min length7

Characters and Unicode

Total characters8364
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique896 ?
Unique (%)95.1%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.852799 17
 
1.8%
40.768051 10
 
1.1%
40.789943 3
 
0.3%
40.778954 2
 
0.2%
40.754094 2
 
0.2%
40.75999 2
 
0.2%
40.82073 2
 
0.2%
40.750156 2
 
0.2%
40.848568 2
 
0.2%
40.748206 2
 
0.2%
Other values (897) 898
95.3%
2023-12-09T20:36:04.077579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1433
17.1%
0 1302
15.6%
7 1165
13.9%
. 942
11.3%
5 612
7.3%
8 583
7.0%
6 573
 
6.9%
9 456
 
5.5%
2 437
 
5.2%
3 434
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7422
88.7%
Other Punctuation 942
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1433
19.3%
0 1302
17.5%
7 1165
15.7%
5 612
8.2%
8 583
7.9%
6 573
 
7.7%
9 456
 
6.1%
2 437
 
5.9%
3 434
 
5.8%
1 427
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 942
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1433
17.1%
0 1302
15.6%
7 1165
13.9%
. 942
11.3%
5 612
7.3%
8 583
7.0%
6 573
 
6.9%
9 456
 
5.5%
2 437
 
5.2%
3 434
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1433
17.1%
0 1302
15.6%
7 1165
13.9%
. 942
11.3%
5 612
7.3%
8 583
7.0%
6 573
 
6.9%
9 456
 
5.5%
2 437
 
5.2%
3 434
 
5.2%

longitude
Text

MISSING 

Distinct909
Distinct (%)96.5%
Missing58
Missing (%)5.8%
Memory size63.5 KiB
2023-12-09T20:36:04.440339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.891719745
Min length7

Characters and Unicode

Total characters9318
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique900 ?
Unique (%)95.5%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.853325 17
 
1.8%
73.89144 10
 
1.1%
73.966602 3
 
0.3%
73.95831 2
 
0.2%
73.961258 2
 
0.2%
73.943731 2
 
0.2%
73.979457 2
 
0.2%
73.970935 2
 
0.2%
73.705976 2
 
0.2%
73.968776 1
 
0.1%
Other values (899) 899
95.4%
2023-12-09T20:36:04.917615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1513
16.2%
3 1202
12.9%
9 1195
12.8%
- 942
10.1%
. 942
10.1%
8 604
 
6.5%
4 545
 
5.8%
5 496
 
5.3%
6 481
 
5.2%
1 472
 
5.1%
Other values (2) 926
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7434
79.8%
Dash Punctuation 942
 
10.1%
Other Punctuation 942
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1513
20.4%
3 1202
16.2%
9 1195
16.1%
8 604
 
8.1%
4 545
 
7.3%
5 496
 
6.7%
6 481
 
6.5%
1 472
 
6.3%
0 466
 
6.3%
2 460
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 942
100.0%
Other Punctuation
ValueCountFrequency (%)
. 942
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1513
16.2%
3 1202
12.9%
9 1195
12.8%
- 942
10.1%
. 942
10.1%
8 604
 
6.5%
4 545
 
5.8%
5 496
 
5.3%
6 481
 
5.2%
1 472
 
5.1%
Other values (2) 926
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1513
16.2%
3 1202
12.9%
9 1195
12.8%
- 942
10.1%
. 942
10.1%
8 604
 
6.5%
4 545
 
5.8%
5 496
 
5.3%
6 481
 
5.2%
1 472
 
5.1%
Other values (2) 926
9.9%

community_board
Text

MISSING 

Distinct55
Distinct (%)5.8%
Missing58
Missing (%)5.8%
Memory size57.1 KiB
2023-12-09T20:36:05.172894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2826
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 210
22.3%
108 87
 
9.2%
106 86
 
9.1%
107 71
 
7.5%
101 69
 
7.3%
104 58
 
6.2%
102 38
 
4.0%
112 22
 
2.3%
211 19
 
2.0%
313 15
 
1.6%
Other values (45) 267
28.3%
2023-12-09T20:36:05.534884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 926
32.8%
0 835
29.5%
5 261
 
9.2%
2 184
 
6.5%
4 153
 
5.4%
3 135
 
4.8%
8 107
 
3.8%
6 104
 
3.7%
7 91
 
3.2%
9 30
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2826
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 926
32.8%
0 835
29.5%
5 261
 
9.2%
2 184
 
6.5%
4 153
 
5.4%
3 135
 
4.8%
8 107
 
3.8%
6 104
 
3.7%
7 91
 
3.2%
9 30
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2826
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 926
32.8%
0 835
29.5%
5 261
 
9.2%
2 184
 
6.5%
4 153
 
5.4%
3 135
 
4.8%
8 107
 
3.8%
6 104
 
3.7%
7 91
 
3.2%
9 30
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 926
32.8%
0 835
29.5%
5 261
 
9.2%
2 184
 
6.5%
4 153
 
5.4%
3 135
 
4.8%
8 107
 
3.8%
6 104
 
3.7%
7 91
 
3.2%
9 30
 
1.1%

council_district
Text

MISSING 

Distinct49
Distinct (%)5.2%
Missing58
Missing (%)5.8%
Memory size55.6 KiB
2023-12-09T20:36:05.736436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.298301486
Min length1

Characters and Unicode

Total characters1223
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 264
28.0%
3 125
13.3%
1 83
 
8.8%
6 67
 
7.1%
2 52
 
5.5%
5 39
 
4.1%
13 21
 
2.2%
10 20
 
2.1%
7 18
 
1.9%
14 16
 
1.7%
Other values (39) 237
25.2%
2023-12-09T20:36:06.057039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 360
29.4%
1 204
16.7%
3 202
16.5%
2 131
 
10.7%
6 97
 
7.9%
5 78
 
6.4%
0 48
 
3.9%
7 41
 
3.4%
9 39
 
3.2%
8 23
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1223
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 360
29.4%
1 204
16.7%
3 202
16.5%
2 131
 
10.7%
6 97
 
7.9%
5 78
 
6.4%
0 48
 
3.9%
7 41
 
3.4%
9 39
 
3.2%
8 23
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 360
29.4%
1 204
16.7%
3 202
16.5%
2 131
 
10.7%
6 97
 
7.9%
5 78
 
6.4%
0 48
 
3.9%
7 41
 
3.4%
9 39
 
3.2%
8 23
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 360
29.4%
1 204
16.7%
3 202
16.5%
2 131
 
10.7%
6 97
 
7.9%
5 78
 
6.4%
0 48
 
3.9%
7 41
 
3.4%
9 39
 
3.2%
8 23
 
1.9%

census_tract
Text

MISSING 

Distinct302
Distinct (%)32.1%
Missing58
Missing (%)5.8%
Memory size57.1 KiB
2023-12-09T20:36:06.574520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.941613588
Min length1

Characters and Unicode

Total characters2771
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)15.4%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
39 18
 
1.9%
102 18
 
1.9%
250 17
 
1.8%
7 17
 
1.8%
96 15
 
1.6%
104 15
 
1.6%
82 15
 
1.6%
137 14
 
1.5%
88 13
 
1.4%
92 12
 
1.3%
Other values (292) 788
83.7%
2023-12-09T20:36:07.231323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 651
23.5%
2 354
12.8%
0 340
12.3%
3 257
 
9.3%
5 225
 
8.1%
9 218
 
7.9%
7 196
 
7.1%
4 187
 
6.7%
8 177
 
6.4%
6 166
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2771
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 651
23.5%
2 354
12.8%
0 340
12.3%
3 257
 
9.3%
5 225
 
8.1%
9 218
 
7.9%
7 196
 
7.1%
4 187
 
6.7%
8 177
 
6.4%
6 166
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2771
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 651
23.5%
2 354
12.8%
0 340
12.3%
3 257
 
9.3%
5 225
 
8.1%
9 218
 
7.9%
7 196
 
7.1%
4 187
 
6.7%
8 177
 
6.4%
6 166
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 651
23.5%
2 354
12.8%
0 340
12.3%
3 257
 
9.3%
5 225
 
8.1%
9 218
 
7.9%
7 196
 
7.1%
4 187
 
6.7%
8 177
 
6.4%
6 166
 
6.0%

nta
Text

MISSING 

Distinct115
Distinct (%)12.2%
Missing58
Missing (%)5.8%
Memory size75.2 KiB
2023-12-09T20:36:07.596353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length46
Mean length22.66135881
Min length6

Characters and Unicode

Total characters21347
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.9%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
south 167
 
7.0%
midtown-midtown 145
 
6.1%
upper 96
 
4.0%
square 91
 
3.8%
west 76
 
3.2%
turtle 73
 
3.1%
bay-east 73
 
3.1%
midtown 73
 
3.1%
east 72
 
3.0%
hill 71
 
3.0%
Other values (166) 1435
60.5%
2023-12-09T20:36:08.127671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1709
 
8.0%
e 1547
 
7.2%
i 1480
 
6.9%
1430
 
6.7%
a 1413
 
6.6%
o 1366
 
6.4%
n 1334
 
6.2%
r 1098
 
5.1%
l 1012
 
4.7%
- 872
 
4.1%
Other values (44) 8086
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15686
73.5%
Uppercase Letter 3356
 
15.7%
Space Separator 1430
 
6.7%
Dash Punctuation 872
 
4.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1709
10.9%
e 1547
9.9%
i 1480
9.4%
a 1413
9.0%
o 1366
8.7%
n 1334
8.5%
r 1098
 
7.0%
l 1012
 
6.5%
s 844
 
5.4%
d 756
 
4.8%
Other values (15) 3127
19.9%
Uppercase Letter
ValueCountFrequency (%)
M 510
15.2%
S 441
13.1%
H 399
11.9%
C 377
11.2%
B 256
7.6%
U 177
 
5.3%
E 155
 
4.6%
L 150
 
4.5%
P 137
 
4.1%
W 119
 
3.5%
Other values (14) 635
18.9%
Space Separator
ValueCountFrequency (%)
1430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19042
89.2%
Common 2305
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1709
 
9.0%
e 1547
 
8.1%
i 1480
 
7.8%
a 1413
 
7.4%
o 1366
 
7.2%
n 1334
 
7.0%
r 1098
 
5.8%
l 1012
 
5.3%
s 844
 
4.4%
d 756
 
4.0%
Other values (39) 6483
34.0%
Common
ValueCountFrequency (%)
1430
62.0%
- 872
37.8%
( 1
 
< 0.1%
) 1
 
< 0.1%
' 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1709
 
8.0%
e 1547
 
7.2%
i 1480
 
6.9%
1430
 
6.7%
a 1413
 
6.6%
o 1366
 
6.4%
n 1334
 
6.2%
r 1098
 
5.1%
l 1012
 
4.7%
- 872
 
4.1%
Other values (44) 8086
37.9%